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Volume 258: International Conference on Artificial Intelligence and Statistics, 3-5 May 2025, Splash Beach Resort in Mai Khao, Thailand
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Editors: Yingzhen Li, Stephan Mandt, Shipra Agrawal, Emtiyaz Khan
Additive Model Boosting: New Insights and Path(ologie)s
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:1-9
Paths and Ambient Spaces in Neural Loss Landscapes
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:10-18
Automatically Adaptive Conformal Risk Control
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:19-27
Cost-aware simulation-based inference
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:28-36
Generalized Criterion for Identifiability of Additive Noise Models Using Majorization
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:37-45
Revisiting Online Learning Approach to Inverse Linear Optimization: A Fenchel–Young Loss Perspective and Gap-Dependent Regret Analysis
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:46-54
Locally Private Estimation with Public Features
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:55-63
A Family of Distributions of Random Subsets for Controlling Positive and Negative Dependence
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:64-72
Lower Bounds for Time-Varying Kernelized Bandits
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:73-81
Randomized Iterative Solver as Iterative Refinement: A Simple Fix Towards Backward Stability
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:82-90
Flexible Copula-Based Mixed Models in Deep Learning: A Scalable Approach to Arbitrary Marginals
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:91-99
Bayesian Inference in Recurrent Explicit Duration Switching Linear Dynamical Systems
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:100-108
ClusterSC: Advancing Synthetic Control with Donor Selection
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:109-117
Efficient Estimation of a Gaussian Mean with Local Differential Privacy
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:118-126
Credal Two-Sample Tests of Epistemic Uncertainty
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:127-135
Bayesian Off-Policy Evaluation and Learning for Large Action Spaces
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:136-144
On the Convergence of Locally Adaptive and Scalable Diffusion-Based Sampling Methods for Deep Bayesian Neural Network Posteriors
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:145-153
Fine-Tuning with Uncertainty-Aware Priors Makes Vision and Language Foundation Models More Reliable
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:154-162
Optimising Clinical Federated Learning through Mode Connectivity-based Model Aggregation
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:163-171
S-CFE: Simple Counterfactual Explanations
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:172-180
A Unifying Framework for Action-Conditional Self-Predictive Reinforcement Learning
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:181-189
Estimation of Large Zipfian Distributions with Sort and Snap
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:190-198
Relating Piecewise Linear Kolmogorov Arnold Networks to ReLU Networks
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:199-207
$β$-th order Acyclicity Derivatives for DAG Learning
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:208-216
Conditional Generative Learning from Invariant Representations in Multi-Source: Robustness and Efficiency
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:217-225
Harnessing the Power of Vicinity-Informed Analysis for Classification under Covariate Shift
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:226-234
Bayesian Gaussian Process ODEs via Double Normalizing Flows
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:235-243
The Local Learning Coefficient: A Singularity-Aware Complexity Measure
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:244-252
Density Ratio Estimation via Sampling along Generalized Geodesics on Statistical Manifolds
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:253-261
Choice is what matters after Attention
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:262-270
The Pivoting Framework: Frank-Wolfe Algorithms with Active Set Size Control
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:271-279
Accelerated Methods for Riemannian Min-Max Optimization Ensuring Bounded Geometric Penalties
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:280-288
Almost linear time differentially private release of synthetic graphs
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:289-297
Adversarial Training in High-Dimensional Regression: Generated Data and Neural Networks
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:298-306
A Bias-Variance Decomposition for Ensembles over Multiple Synthetic Datasets
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:307-315
Approximate information maximization for bandit games
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:316-324
Disentangling impact of capacity, objective, batchsize, estimators, and step-size on flow VI
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:325-333
Generalization Lower Bounds for GD and SGD in Smooth Stochastic Convex Optimization
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:334-342
Learning in Herding Mean Field Games: Single-Loop Algorithm with Finite-Time Convergence Analysis
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:343-351
Strong Screening Rules for Group-based SLOPE Models
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:352-360
Infinite-Horizon Reinforcement Learning with Multinomial Logit Function Approximation
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:361-369
Constrained Multi-objective Bayesian Optimization through Optimistic Constraints Estimation
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:370-378
Prior-Dependent Allocations for Bayesian Fixed-Budget Best-Arm Identification in Structured Bandits
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:379-387
Nyström Kernel Stein Discrepancy
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:388-396
Some Targets Are Harder to Identify than Others: Quantifying the Target-dependent Membership Leakage
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:397-405
Near-Optimal Algorithm for Non-Stationary Kernelized Bandits
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:406-414
No-Regret Bayesian Optimization with Stochastic Observation Failures
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:415-423
Nonparametric Factor Analysis and Beyond
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:424-432
Improving Pre-trained Self-Supervised Embeddings Through Effective Entropy Maximization
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:433-441
Scalable Inference for Bayesian Multinomial Logistic-Normal Dynamic Linear Models
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:442-450
Inverse Optimization with Prediction Market: A Characterization of Scoring Rules for Elciting System States
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:451-459
HAVER: Instance-Dependent Error Bounds for Maximum Mean Estimation and Applications to Q-Learning and Monte Carlo Tree Search
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:460-468
Ant Colony Sampling with GFlowNets for Combinatorial Optimization
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:469-477
Function-Space MCMC for Bayesian Wide Neural Networks
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:478-486
A Theoretical Framework for Preventing Class Collapse in Supervised Contrastive Learning
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:487-495
Signed Graph Autoencoder for Explainable and Polarization-Aware Network Embeddings
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:496-504
On the Asymptotic Mean Square Error Optimality of Diffusion Models
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:505-513
Adaptive Extragradient Methods for Root-finding Problems under Relaxed Assumptions
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:514-522
Fourier Circuits in Neural Networks and Transformers: A Case Study of Modular Arithmetic with Multiple Inputs
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:523-531
Signature Isolation Forest
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:532-540
Elastic Representation: Mitigating Spurious Correlations for Group Robustness
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:541-549
Scalable spectral representations for multiagent reinforcement learning in network MDPs
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:550-558
Bridging Domains with Approximately Shared Features
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:559-567
Epistemic Uncertainty and Excess Risk in Variational Inference
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:568-576
Learning Identifiable Structures Helps Avoid Bias in DNN-based Supervised Causal Learning
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:577-585
Selecting the Number of Communities for Weighted Degree-Corrected Stochastic Block Models
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:586-594
Empirical Error Estimates for Graph Sparsification
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:595-603
On the Geometry and Optimization of Polynomial Convolutional Networks
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:604-612
Data Reconstruction Attacks and Defenses: A Systematic Evaluation
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:613-621
Locally Private Sampling with Public Data
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:622-630
Reliable and Scalable Variable Importance Estimation via Warm-start and Early Stopping
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:631-639
Reinforcement Learning for Adaptive MCMC
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:640-648
Prediction-Centric Uncertainty Quantification via MMD
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:649-657
Harnessing Causality in Reinforcement Learning with Bagged Decision Times
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:658-666
Learning the Pareto Front Using Bootstrapped Observation Samples
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:667-675
FedBaF: Federated Learning Aggregation Biased by a Foundation Model
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:676-684
A Generalized Theory of Mixup for Structure-Preserving Synthetic Data
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:685-693
On the Sample Complexity of Next-Token Prediction
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:694-702
Amortized Probabilistic Conditioning for Optimization, Simulation and Inference
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:703-711
Steering No-Regret Agents in MFGs under Model Uncertainty
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:712-720
Bridging Multiple Worlds: Multi-marginal Optimal Transport for Causal Partial-identification Problem
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:721-729
The Polynomial Iteration Complexity for Variance Exploding Diffusion Models: Elucidating SDE and ODE Samplers
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:730-738
To Give or Not to Give? The Impacts of Strategically Withheld Recourse
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:739-747
Optimal estimation of linear non-Gaussian structure equation models
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:748-756
Stein Boltzmann Sampling: A Variational Approach for Global Optimization
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:757-765
Learning signals defined on graphs with optimal transport and Gaussian process regression
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:766-774
Score matching for bridges without learning time-reversals
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:775-783
Safe exploration in reproducing kernel Hilbert spaces
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:784-792
Ordered $\mathcalV$-information Growth: A Fresh Perspective on Shared Information
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:793-801
On Tradeoffs in Learning-Augmented Algorithms
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:802-810
Cubic regularized subspace Newton for non-convex optimization
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:811-819
Consistent Validation for Predictive Methods in Spatial Settings
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:820-828
Get rid of your constraints and reparametrize: A study in NNLS and implicit bias
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:829-837
Collaborative non-parametric two-sample testing
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:838-846
Tamed Langevin sampling under weaker conditions
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:847-855
Entropic Matching for Expectation Propagation of Markov Jump Processes
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:856-864
Global Group Fairness in Federated Learning via Function Tracking
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:865-873
Near-Optimal Sample Complexity in Reward-Free Kernel-based Reinforcement Learning
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:874-882
Poisoning Bayesian Inference via Data Deletion and Replication
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:883-891
Near-optimal algorithms for private estimation and sequential testing of collision probability
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:892-900
Fundamental Limits of Perfect Concept Erasure
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:901-909
Perfect Recovery for Random Geometric Graph Matching with Shallow Graph Neural Networks
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:910-918
Microfoundation inference for strategic prediction
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:919-927
Heterogeneous Graph Structure Learning through the Lens of Data-generating Processes
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:928-936
Superiority of Multi-Head Attention: A Theoretical Study in Shallow Transformers in In-Context Linear Regression
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:937-945
Balls-and-Bins Sampling for DP-SGD
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:946-954
Distance Estimation for High-Dimensional Discrete Distributions
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:955-963
Type Information-Assisted Self-Supervised Knowledge Graph Denoising
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:964-972
Learning the Distribution Map in Reverse Causal Performative Prediction
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:973-981
Optimizing Neural Network Training and Quantization with Rooted Logistic Objectives
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:982-990
Planning and Learning in Risk-Aware Restless Multi-Arm Bandits
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:991-999
Pareto Set Identification With Posterior Sampling
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:1000-1008
Convergence Analysis for General Probability Flow ODEs of Diffusion Models in Wasserstein Distances
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:1009-1017
Geometry-Aware Generative Autoencoders for Warped Riemannian Metric Learning and Generative Modeling on Data Manifolds
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:1018-1026
Q-function Decomposition with Intervention Semantics for Factored Action Spaces
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:1027-1035
HAR-former: Hybrid Transformer with an Adaptive Time-Frequency Representation Matrix for Long-Term Series Forecasting
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:1036-1044
Bayesian Decision Theory on Decision Trees: Uncertainty Evaluation and Interpretability
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:1045-1053
Hybrid Transfer Reinforcement Learning: Provable Sample Efficiency from Shifted-Dynamics Data
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:1054-1062
Trustworthy assessment of heterogeneous treatment effect estimator via analysis of relative error
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:1063-1071
Learning-Augmented Algorithms for Online Concave Packing and Convex Covering Problems
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:1072-1080
On the Power of Adaptive Weighted Aggregation in Heterogeneous Federated Learning and Beyond
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:1081-1089
Prior-Fitted Networks Scale to Larger Datasets When Treated as Weak Learners
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:1090-1098
Locally Optimal Descent for Dynamic Stepsize Scheduling
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:1099-1107
Online Student-$t$ Processes with an Overall-local Scale Structure for Modelling Non-stationary Data
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:1108-1116
Policy Teaching via Data Poisoning in Learning from Human Preferences
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:1117-1125
Model selection for behavioral learning data and applications to contextual bandits
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:1126-1134
Distributional Counterfactual Explanations With Optimal Transport
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:1135-1143
$f$-PO: Generalizing Preference Optimization with $f$-divergence Minimization
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:1144-1152
Variational Inference on the Boolean Hypercube with the Quantum Entropy
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:1153-1161
Optimal Multi-Objective Best Arm Identification with Fixed Confidence
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:1162-1170
Symmetry-Based Structured Matrices for Efficient Approximately Equivariant Networks
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:1171-1179
Evaluating Prediction-based Interventions with Human Decision Makers In Mind
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:1180-1188
Bandit Pareto Set Identification in a Multi-Output Linear Model
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:1189-1197
posteriordb: Testing, Benchmarking and Developing Bayesian Inference Algorithms
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:1198-1206
Efficient Optimization Algorithms for Linear Adversarial Training
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:1207-1215
Learning a Single Index Model from Anisotropic Data with Vanilla Stochastic Gradient Descent
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:1216-1224
A primer on linear classification with missing data
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:1225-1233
Robust Score Matching
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:1234-1242
On the Relationship Between Robustness and Expressivity of Graph Neural Networks
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:1243-1251
Parameter estimation in state space models using particle importance sampling
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:1252-1260
Class Imbalance in Anomaly Detection: Learning from an Exactly Solvable Model
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:1261-1269
Unbiased Quantization of the $L_1$ Ball for Communication-Efficient Distributed Mean Estimation
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:1270-1278
MING: A Functional Approach to Learning Molecular Generative Models
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:1279-1287
Sequential Kernelized Stein Discrepancy
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:1288-1296
SubSearch: Robust Estimation and Outlier Detection for Stochastic Block Models via Subgraph Search
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:1297-1305
Optimal downsampling for Imbalanced Classification with Generalized Linear Models
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:1306-1314
Federated UCBVI: Communication-Efficient Federated Regret Minimization with Heterogeneous Agents
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:1315-1323
Noisy Low-Rank Matrix Completion via Transformed $L_1$ Regularization and its Theoretical Properties
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:1324-1332
Representer Theorems for Metric and Preference Learning: Geometric Insights and Algorithms
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:1333-1341
UNHaP: Unmixing Noise from Hawkes Processes
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:1342-1350
Axiomatic Explainer Globalness via Optimal Transport
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:1351-1359
Integer Programming Based Methods and Heuristics for Causal Graph Learning
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:1360-1368
The VampPrior Mixture Model
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:1369-1377
MEDUSA: Medical Data Under Shadow Attacks via Hybrid Model Inversion
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:1378-1386
Proximal Sampler with Adaptive Step Size
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:1387-1395
Rate of Model Collapse in Recursive Training
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:1396-1404
A Shared Low-Rank Adaptation Approach to Personalized RLHF
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:1405-1413
Differentially private algorithms for linear queries via stochastic convex optimization
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:1414-1422
Is Merging Worth It? Securely Evaluating the Information Gain for Causal Dataset Acquisition
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:1423-1431
Recursive Learning of Asymptotic Variational Objectives
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:1432-1440
Improving Stochastic Cubic Newton with Momentum
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:1441-1449
Adaptive Convergence Rates for Log-Concave Maximum Likelihood
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:1450-1458
Learning to Negotiate via Voluntary Commitment
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:1459-1467
Differentiable Calibration of Inexact Stochastic Simulation Models via Kernel Score Minimization
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:1468-1476
Fully Dynamic Adversarially Robust Correlation Clustering in Polylogarithmic Update Time
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:1477-1485
On Distributional Discrepancy for Experimental Design with General Assignment Probabilities
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:1486-1494
Dynamic DBSCAN with Euler Tour Sequences
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:1495-1503
Differentially Private Range Queries with Correlated Input Perturbation
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:1504-1512
An Adaptive Method for Weak Supervision with Drifting Data
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:1513-1521
On the Inherent Privacy of Zeroth-Order Projected Gradient Descent
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:1522-1530
Transformers are Provably Optimal In-context Estimators for Wireless Communications
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:1531-1539
Multi-Player Approaches for Dueling Bandits
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:1540-1548
Improved dependence on coherence in eigenvector and eigenvalue estimation error bounds
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:1549-1557
Provable Benefits of Task-Specific Prompts for In-context Learning
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:1558-1566
Neural Point Processes for Pixel-wise Regression
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:1567-1575
Importance-weighted Positive-unlabeled Learning for Distribution Shift Adaptation
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:1576-1584
Minimum Empirical Divergence for Sub-Gaussian Linear Bandits
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:1585-1593
Dissecting the Impact of Model Misspecification in Data-Driven Optimization
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:1594-1602
ROTI-GCV: Generalized Cross-Validation for right-ROTationally Invariant Data
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:1603-1611
Clustered Invariant Risk Minimization
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:1612-1620
Towards a mathematical theory for consistency training in diffusion models
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:1621-1629
Training LLMs with MXFP4
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:1630-1638
Multi-agent Multi-armed Bandit Regret Complexity and Optimality
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:1639-1647
Models That Are Interpretable But Not Transparent
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:1648-1656
Reinforcement Learning with Intrinsically Motivated Feedback Graph for Lost-sales Inventory Control
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:1657-1665
AxlePro: Momentum-Accelerated Batched Training of Kernel Machines
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:1666-1674
A Likelihood Based Approach for Watermark Detection
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:1675-1683
What and How does In-Context Learning Learn? Bayesian Model Averaging, Parameterization, and Generalization
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:1684-1692
Bayesian Circular Regression with von Mises Quasi-Processes
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:1693-1701
Cross Validation for Correlated Data in Classification Models
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:1702-1710
Post-processing for Fair Regression via Explainable SVD
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:1711-1719
Truncated Inverse-Lévy Measure Representation of the Beta Process
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:1720-1728
Consistent Amortized Clustering via Generative Flow Networks
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:1729-1737
Adaptive RKHS Fourier Features for Compositional Gaussian Process Models
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:1738-1746
Statistical Inference for Feature Selection after Optimal Transport-based Domain Adaptation
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:1747-1755
Wasserstein Gradient Flow over Variational Parameter Space for Variational Inference
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:1756-1764
On Tractability of Learning Bayesian Networks with Ancestral Constraints
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:1765-1773
High-probability Convergence Bounds for Online Nonlinear Stochastic Gradient Descent under Heavy-tailed Noise
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:1774-1782
Hyperboloid GPLVM for Discovering Continuous Hierarchies via Nonparametric Estimation
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:1783-1791
From Learning to Optimize to Learning Optimization Algorithms
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:1792-1800
Factor Analysis with Correlated Topic Model for Multi-Modal Data
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:1801-1809
Pure Exploration with Feedback Graphs
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:1810-1818
The Hardness of Validating Observational Studies with Experimental Data
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:1819-1827
Learning Graph Node Embeddings by Smooth Pair Sampling
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:1828-1836
Personalized Convolutional Dictionary Learning of Physiological Time Series
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:1837-1845
Approximating the Total Variation Distance between Gaussians
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:1846-1854
Performative Prediction on Games and Mechanism Design
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:1855-1863
A Multi-Armed Bandit Approach to Online Selection and Evaluation of Generative Models
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:1864-1872
Partial Information Decomposition for Data Interpretability and Feature Selection
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:1873-1881
Energy-consistent Neural Operators for Hamiltonian and Dissipative Partial Differential Equations
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:1882-1890
On the Difficulty of Constructing a Robust and Publicly-Detectable Watermark
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:1891-1899
Hierarchical Bias-Driven Stratification for Interpretable Causal Effect Estimation
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:1900-1908
Model Evaluation in the Dark: Robust Classifier Metrics with Missing Labels
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:1909-1917
RetroDiff: Retrosynthesis as Multi-stage Distribution Interpolation
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:1918-1926
QuACK: A Multipurpose Queuing Algorithm for Cooperative $k$-Armed Bandits
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:1927-1935
Changepoint Estimation in Sparse Dynamic Stochastic Block Models under Near-Optimal Signal Strength
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:1936-1944
Multi-Agent Credit Assignment with Pretrained Language Models
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:1945-1953
Contractivity and linear convergence in bilinear saddle-point problems: An operator-theoretic approach
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:1954-1962
Change Point Detection in Hadamard Spaces by Alternating Minimization
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:1963-1971
TempTest: Local Normalization Distortion and the Detection of Machine-generated Text
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:1972-1980
StableMDS: A Novel Gradient Descent-Based Method for Stabilizing and Accelerating Weighted Multidimensional Scaling
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:1981-1989
Differentially Private Continual Release of Histograms and Related Queries
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:1990-1998
Implicit Diffusion: Efficient optimization through stochastic sampling
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:1999-2007
Information-Theoretic Causal Discovery in Topological Order
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:2008-2016
A Unified Evaluation Framework for Epistemic Predictions
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:2017-2025
LMEraser: Large Model Unlearning via Adaptive Prompt Tuning
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:2026-2034
All models are wrong, some are useful: Model Selection with Limited Labels
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:2035-2043
Active Bipartite Ranking with Smooth Posterior Distributions
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:2044-2052
The Sample Complexity of Stackelberg Games
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:2053-2061
Bayes without Underfitting: Fully Correlated Deep Learning Posteriors via Alternating Projections
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:2062-2070
Computation-Aware Kalman Filtering and Smoothing
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:2071-2079
Robust Gradient Descent for Phase Retrieval
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:2080-2088
Distribution-Aware Mean Estimation under User-level Local Differential Privacy
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:2089-2097
Calibrated Computation-Aware Gaussian Processes
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:2098-2106
Towards Fair Graph Learning without Demographic Information
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:2107-2115
Data-Driven Upper Confidence Bounds with Near-Optimal Regret for Heavy-Tailed Bandits
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:2116-2124
Gaussian Smoothing in Saliency Maps: The Stability-Fidelity Trade-Off in Neural Network Interpretability
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:2125-2133
Disentangling Interactions and Dependencies in Feature Attributions
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:2134-2142
A Causal Framework for Evaluating Deferring Systems
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:2143-2151
Generalization Bounds for Dependent Data using Online-to-Batch Conversion.
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:2152-2160
Tensor Network-Constrained Kernel Machines as Gaussian Processes
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:2161-2169
Accuracy on the wrong line: On the pitfalls of noisy data for out-of-distribution generalisation
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:2170-2178
Classification of High-dimensional Time Series in Spectral Domain Using Explainable Features with Applications to Neuroimaging Data
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:2179-2187
Incremental Uncertainty-aware Performance Monitoring with Active Labeling Intervention
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:2188-2196
Legitimate ground-truth-free metrics for deep uncertainty classification scoring
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:2197-2205
Information-Theoretic Measures on Lattices for Higher-Order Interactions
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:2206-2214
Common Learning Constraints Alter Interpretations of Direct Preference Optimization
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:2215-2223
A Random Matrix Theory Perspective on the Spectrum of Learned Features and Asymptotic Generalization Capabilities
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:2224-2232
Best-Arm Identification in Unimodal Bandits
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:2233-2241
ChronosX: Adapting Pretrained Time Series Models with Exogenous Variables
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:2242-2250
Reward Maximization for Pure Exploration: Minimax Optimal Good Arm Identification for Nonparametric Multi-Armed Bandits
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:2251-2259
Efficient Trajectory Inference in Wasserstein Space Using Consecutive Averaging
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:2260-2268
Efficient Exploitation of Hierarchical Structure in Sparse Reward Reinforcement Learning
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:2269-2277
Distributional Adversarial Loss
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:2278-2286
A Subquadratic Time Approximation Algorithm for Individually Fair k-Center
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:2287-2295
Global Optimization of Gaussian Process Acquisition Functions Using a Piecewise-Linear Kernel Approximation
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:2296-2304
Credibility-Aware Multimodal Fusion Using Probabilistic Circuits
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:2305-2313
Learning from biased positive-unlabeled data via threshold calibration
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:2314-2322
Near-Polynomially Competitive Active Logistic Regression
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:2323-2331
DeCaf: A Causal Decoupling Framework for OOD Generalization on Node Classification
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:2332-2340
Fair Resource Allocation in Weakly Coupled Markov Decision Processes
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:2341-2349
Robust Fair Clustering with Group Membership Uncertainty Sets
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:2350-2358
FLIPHAT: Joint Differential Privacy for High Dimensional Linear Bandits
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:2359-2367
When the Universe is Too Big: Bounding Consideration Probabilities for Plackett-Luce Rankings
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:2368-2376
Conditional diffusions for amortized neural posterior estimation
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:2377-2385
On adaptivity and minimax optimality of two-sided nearest neighbors
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:2386-2394
Decision from Suboptimal Classifiers: Excess Risk Pre- and Post-Calibration
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:2395-2403
Statistical Guarantees for Unpaired Image-to-Image Cross-Domain Analysis using GANs
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:2404-2412
From Gradient Clipping to Normalization for Heavy Tailed SGD
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:2413-2421
Deep Optimal Sensor Placement for Black Box Stochastic Simulations
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:2422-2430
Adversarially-Robust TD Learning with Markovian Data: Finite-Time Rates and Fundamental Limits
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:2431-2439
Explaining ViTs Using Information Flow
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:2440-2448
Zero-Shot Action Generalization with Limited Observations
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:2449-2457
Conditional Prediction ROC Bands for Graph Classification
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:2458-2466
Fundamental computational limits of weak learnability in high-dimensional multi-index models
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:2467-2475
MDP Geometry, Normalization and Reward Balancing Solvers
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:2476-2484
BudgetIV: Optimal Partial Identification of Causal Effects with Mostly Invalid Instruments
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:2485-2493
Variation Due to Regularization Tractably Recovers Bayesian Deep Learning Uncertainty
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:2494-2502
Variance-Dependent Regret Bounds for Nonstationary Linear Bandits
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:2503-2511
Spectral Differential Network Analysis for High-Dimensional Time Series
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:2512-2520
Time-series attribution maps with regularized contrastive learning
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:2521-2529
A High Dimensional Statistical Model for Adversarial Training: Geometry and Trade-Offs
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:2530-2538
Revisiting LocalSGD and SCAFFOLD: Improved Rates and Missing Analysis
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:2539-2547
An Iterative Algorithm for Rescaled Hyperbolic Functions Regression
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:2548-2556
Analyzing the Role of Permutation Invariance in Linear Mode Connectivity
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:2557-2565
Restructuring Tractable Probabilistic Circuits
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:2566-2574
Asynchronous Decentralized Optimization with Constraints: Achievable Speeds of Convergence for Directed Graphs
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:2575-2583
Synthesis and Analysis of Data as Probability Measures With Entropy-Regularized Optimal Transport
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:2584-2592
Sampling From Multiscale Densities With Delayed Rejection Generalized Hamiltonian Monte Carlo
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:2593-2601
Differentially Private Graph Data Release: Inefficiencies & Unfairness
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:2602-2610
Improving N-Glycosylation and Biopharmaceutical Production Predictions Using AutoML-Built Residual Hybrid Models
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:2611-2619
Parabolic Continual Learning
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:2620-2628
Robust Kernel Hypothesis Testing under Data Corruption
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:2629-2637
A Multi-Task Learning Approach to Linear Multivariate Forecasting
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:2638-2646
Looped ReLU MLPs May Be All You Need as Practical Programmable Computers
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:2647-2655
Pick-to-Learn and Self-Certified Gaussian Process Approximations
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:2656-2664
Q-learning for Quantile MDPs: A Decomposition, Performance, and Convergence Analysis
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:2665-2673
Sparse Activations as Conformal Predictors
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:2674-2682
Robust Multi-fidelity Bayesian Optimization with Deep Kernel and Partition
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:2683-2691
Is Prior-Free Black-Box Non-Stationary Reinforcement Learning Feasible?
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:2692-2700
Your Finetuned Large Language Model is Already a Powerful Out-of-distribution Detector
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:2701-2709
When Can We Solve the Weighted Low Rank Approximation Problem in Truly Subquadratic Time?
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:2710-2718
Spectral Representation for Causal Estimation with Hidden Confounders
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:2719-2727
Geometric Collaborative Filtering with Convergence
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:2728-2736
Learning Infinite-Horizon Average-Reward Linear Mixture MDPs of Bounded Span
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:2737-2745
Flexible and Efficient Probabilistic PDE Solvers through Gaussian Markov Random Fields
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:2746-2754
Learning Laplacian Positional Encodings for Heterophilous Graphs
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:2755-2763
Understanding GNNs and Homophily in Dynamic Node Classification
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:2764-2772
Causal Discovery on Dependent Binary Data
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:2773-2781
A Safe Bayesian Learning Algorithm for Constrained MDPs with Bounded Constraint Violation
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:2782-2790
Statistical Learning of Distributionally Robust Stochastic Control in Continuous State Spaces
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:2791-2799
Calm Composite Losses: Being Improper Yet Proper Composite
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:2800-2808
Optimistic Safety for Online Convex Optimization with Unknown Linear Constraints
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:2809-2817
Approximate Global Convergence of Independent Learning in Multi-Agent Systems
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:2818-2826
Protein Fitness Landscape: Spectral Graph Theory Perspective
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:2827-2835
A Tight Regret Analysis of Non-Parametric Repeated Contextual Brokerage
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:2836-2844
Evidential Uncertainty Probes for Graph Neural Networks
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:2845-2853
Quantifying the Optimization and Generalization Advantages of Graph Neural Networks Over Multilayer Perceptrons
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:2854-2862
Memory-Efficient Optimization with Factorized Hamiltonian Descent
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:2863-2871
Computing high-dimensional optimal transport by flow neural networks
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:2872-2880
Is Gibbs sampling faster than Hamiltonian Monte Carlo on GLMs?
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:2881-2889
On Preference-based Stochastic Linear Contextual Bandits with Knapsacks
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:2890-2898
Decoupling epistemic and aleatoric uncertainties with possibility theory
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:2899-2907
Permutation Invariant Functions: Statistical Testing, Density Estimation, and Metric Entropy
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:2908-2916
Recurrent Neural Goodness-of-Fit Test for Time Series
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:2917-2925
Transfer Learning for High-dimensional Reduced Rank Time Series Models
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:2926-2934
Decision-Point Guided Safe Policy Improvement
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:2935-2943
Understanding Inverse Reinforcement Learning under Overparameterization: Non-Asymptotic Analysis and Global Optimality
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:2944-2952
New User Event Prediction Through the Lens of Causal Inference
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:2953-2961
Variational Combinatorial Sequential Monte Carlo for Bayesian Phylogenetics in Hyperbolic Space
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:2962-2970
Multi-level Advantage Credit Assignment for Cooperative Multi-Agent Reinforcement Learning
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:2971-2979
Sampling in High-Dimensions using Stochastic Interpolants and Forward-Backward Stochastic Differential Equations
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:2980-2988
Reinforcement Learning for Infinite-Horizon Average-Reward Linear MDPs via Approximation by Discounted-Reward MDPs
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:2989-2997
Functional Stochastic Gradient MCMC for Bayesian Neural Networks
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:2998-3006
Meta-learning from Heterogeneous Tensors for Few-shot Tensor Completion
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:3007-3015
HR-Bandit: Human-AI Collaborated Linear Recourse Bandit
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:3016-3024
ADEPT: Hierarchical Bayes Approach to Personalized Federated Unsupervised Learning
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:3025-3033
Domain Adaptation and Entanglement: an Optimal Transport Perspective
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:3034-3042
Invertible Fourier Neural Operators for Tackling Both Forward and Inverse Problems
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:3043-3051
Meta-learning Task-specific Regularization Weights for Few-shot Linear Regression
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:3052-3060
Subspace Recovery in Winsorized PCA: Insights into Accuracy and Robustness
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:3061-3069
Stochastic Gradient Descent for Bézier Simplex Representation of Pareto Set in Multi-Objective Optimization
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:3070-3078
HACSurv: A Hierarchical Copula-Based Approach for Survival Analysis with Dependent Competing Risks
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:3079-3087
Causal discovery in mixed additive noise models
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:3088-3096
Riemann$^2$: Learning Riemannian Submanifolds from Riemannian Data
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:3097-3105
High Dimensional Bayesian Optimization using Lasso Variable Selection
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:3106-3114
Differentiable Causal Structure Learning with Identifiability by NOTIME
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:3115-3123
Out-of-distribution robustness for multivariate analysis via causal regularisation
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:3124-3132
Memorization in Attention-only Transformers
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:3133-3141
Multimodal Learning with Uncertainty Quantification based on Discounted Belief Fusion
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:3142-3150
Koopman-Equivariant Gaussian Processes
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:3151-3159
Continuous Structure Constraint Integration for Robust Causal Discovery
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:3160-3168
Infinite Width Limits of Self Supervised Neural Networks
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:3169-3177
Safety in the Face of Adversity: Achieving Zero Constraint Violation in Online Learning with Slowly Changing Constraints
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:3178-3186
What Ails Generative Structure-based Drug Design: Expressivity is Too Little or Too Much?
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:3187-3195
TRADE: Transfer of Distributions between External Conditions with Normalizing Flows
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:3196-3204
Sketch-and-Project Meets Newton Method: Global $O(1/k^2)$ Convergence with Low-Rank Updates
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:3205-3213
Statistical Test for Auto Feature Engineering by Selective Inference
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:3214-3222
Differential Privacy in Distributed Learning: Beyond Uniformly Bounded Stochastic Gradients
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:3223-3231
Performative Reinforcement Learning with Linear Markov Decision Process
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:3232-3240
On the Identifiability of Causal Abstractions
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:3241-3249
Powerful batch conformal prediction for classification
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:3250-3258
Composition and Control with Distilled Energy Diffusion Models and Sequential Monte Carlo
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:3259-3267
Fixed-Budget Change Point Identification in Piecewise Constant Bandits
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:3268-3276
Tensor Network Based Feature Learning Model
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:3277-3285
Sample Compression Unleashed: New Generalization Bounds for Real Valued Losses
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:3286-3294
Global Ground Metric Learning with Applications to scRNA data
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:3295-3303
Independent Learning in Performative Markov Potential Games
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:3304-3312
Parallel Backpropagation for Inverse of a Convolution with Application to Normalizing Flows
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:3313-3321
A Differential Inclusion Approach for Learning Heterogeneous Sparsity in Neuroimaging Analysis
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:3322-3330
Narrowing the Gap between Adversarial and Stochastic MDPs via Policy Optimization
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:3331-3339
SNAP: Sequential Non-Ancestor Pruning for Targeted Causal Effect Estimation With an Unknown Graph
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:3340-3348
Do Regularization Methods for Shortcut Mitigation Work As Intended?
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:3349-3357
Hyperbolic Prototypical Entailment Cones for Image Classification
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:3358-3366
Information Transfer Across Clinical Tasks via Adaptive Parameter Optimisation
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:3367-3375
Online-to-PAC generalization bounds under graph-mixing dependencies
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:3376-3384
Covariance Selection over Networks
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:3385-3393
Sparse Causal Effect Estimation using Two-Sample Summary Statistics in the Presence of Unmeasured Confounding
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:3394-3402
Vecchia Gaussian Process Ensembles on Internal Representations of Deep Neural Networks
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:3403-3411
Separation-Based Distance Measures for Causal Graphs
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:3412-3420
Order-Optimal Regret with Novel Policy Gradient Approaches in Infinite-Horizon Average Reward MDPs
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:3421-3429
FreqMoE: Enhancing Time Series Forecasting through Frequency Decomposition Mixture of Experts
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:3430-3438
Enhanced Adaptive Gradient Algorithms for Nonconvex-PL Minimax Optimization
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:3439-3447
Federated Causal Inference: Multi-Study ATE Estimation beyond Meta-Analysis
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:3448-3456
Optimal Time Complexity Algorithms for Computing General Random Walk Graph Kernels on Sparse Graphs
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:3457-3465
Variational Inference in Location-Scale Families: Exact Recovery of the Mean and Correlation Matrix
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:3466-3474
A Theoretical Understanding of Chain-of-Thought: Coherent Reasoning and Error-Aware Demonstration
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:3475-3483
A graphical global optimization framework for parameter estimation of statistical models with nonconvex regularization functions
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:3484-3492
High-Dimensional Differential Parameter Inference in Exponential Family using Time Score Matching
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:3493-3501
Large Covariance Matrix Estimation With Nonnegative Correlations
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:3502-3510
TVineSynth: A Truncated C-Vine Copula Generator of Synthetic Tabular Data to Balance Privacy and Utility
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:3511-3519
Fairness Risks for Group-Conditionally Missing Demographics
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:3520-3528
Anytime-Valid A/B Testing of Counting Processes
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:3529-3537
Diffusion Models under Group Transformations
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:3538-3546
Theoretical Convergence Guarantees for Variational Autoencoders
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:3547-3555
Infinite-dimensional Diffusion Bridge Simulation via Operator Learning
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:3556-3564
Natural Language Counterfactual Explanations for Graphs Using Large Language Models
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:3565-3573
Nonparametric estimation of Hawkes processes with RKHSs
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:3574-3582
Rethinking Neural-based Matrix Inversion: Why can’t, and Where can
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:3583-3591
A Safe Exploration Approach to Constrained Markov Decision Processes
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:3592-3600
Towards Cost Sensitive Decision Making
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:3601-3609
Weighted Sum of Gaussian Process Latent Variable Models
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:3610-3618
Survival Models: Proper Scoring Rule and Stochastic Optimization with Competing Risks
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:3619-3627
Density-Dependent Group Testing
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:3628-3636
Offline RL via Feature-Occupancy Gradient Ascent
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:3637-3645
Gated Recurrent Neural Networks with Weighted Time-Delay Feedback
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:3646-3654
LC-Tsallis-INF: Generalized Best-of-Both-Worlds Linear Contextual Bandits
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:3655-3663
Theoretically Grounded Pruning of Large Ground Sets for Constrained, Discrete Optimization
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:3664-3672
A Novel Convex Gaussian Min Max Theorem for Repeated Features
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:3673-3681
Unveiling the Role of Randomization in Multiclass Adversarial Classification: Insights from Graph Theory
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:3682-3690
On the Computational Tractability of the (Many) Shapley Values
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:3691-3699
Causal Representation Learning from General Environments under Nonparametric Mixing
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:3700-3708
Conditioning diffusion models by explicit forward-backward bridging
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:3709-3717
Stochastic Approximation with Unbounded Markovian Noise: A General-Purpose Theorem
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:3718-3726
Learning Visual-Semantic Subspace Representations
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:3727-3735
Kernel Single Proxy Control for Deterministic Confounding
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:3736-3744
Copula Based Trainable Calibration Error Estimator of Multi-Label Classification with Label Interdependencies
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:3745-3753
Causal Discovery-Driven Change Point Detection in Time Series
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:3754-3762
Scalable Out-of-Distribution Robustness in the Presence of Unobserved Confounders
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:3763-3771
SemlaFlow – Efficient 3D Molecular Generation with Latent Attention and Equivariant Flow Matching
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:3772-3780
Two-Timescale Linear Stochastic Approximation: Constant Stepsizes Go a Long Way
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:3781-3789
Your copula is a classifier in disguise: classification-based copula density estimation
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:3790-3798
On Subjective Uncertainty Quantification and Calibration in Natural Language Generation
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:3799-3807
Primal-Dual Spectral Representation for Off-policy Evaluation
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:3808-3816
Multi-marginal Schrödinger Bridges with Iterative Reference Refinement
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:3817-3825
RTD-Lite: Scalable Topological Analysis for Comparing Weighted Graphs in Learning Tasks
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:3826-3834
Stochastic Compositional Minimax Optimization with Provable Convergence Guarantees
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:3835-3843
Tighter Confidence Bounds for Sequential Kernel Regression
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:3844-3852
Adapting to Online Distribution Shifts in Deep Learning: A Black-Box Approach
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:3853-3861
InnerThoughts: Disentangling Representations and Predictions in Large Language Models
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:3862-3870
Risk-sensitive Bandits: Arm Mixture Optimality and Regret-efficient Algorithms
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:3871-3879
Semiparametric conformal prediction
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:3880-3888
Learning Geometrically-Informed Lyapunov Functions with Deep Diffeomorphic RBF Networks
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:3889-3897
Max-Rank: Efficient Multiple Testing for Conformal Prediction
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:3898-3906
Near-Optimal Sample Complexity for Iterated CVaR Reinforcement Learning with a Generative Model
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:3907-3915
Steinmetz Neural Networks for Complex-Valued Data
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:3916-3924
Feasible Learning
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:3925-3933
Task Shift: From Classification to Regression in Overparameterized Linear Models
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:3934-3942
Fast Convergence of Softmax Policy Mirror Ascent
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:3943-3951
Scalable Implicit Graphon Learning
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:3952-3960
Application of Structured State Space Models to High energy physics with locality sensitive hashing
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:3961-3969
Analysis of Two-Stage Rollout Designs with Clustering for Causal Inference under Network Interference
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:3970-3978
The Size of Teachers as a Measure of Data Complexity: PAC-Bayes Excess Risk Bounds and Scaling Laws
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:3979-3987
DDEQs: Distributional Deep Equilibrium Models through Wasserstein Gradient Flows
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:3988-3996
Bridging the Theoretical Gap in Randomized Smoothing
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:3997-4005
Distributional Off-policy Evaluation with Bellman Residual Minimization
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:4006-4014
Theory of Agreement-on-the-Line in Linear Models and Gaussian Data
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:4015-4023
SteinDreamer: Variance Reduction for Text-to-3D Score Distillation via Stein Identity
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:4024-4032
Theoretical Analysis of Leave-one-out Cross Validation for Non-differentiable Penalties under High-dimensional Settings
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:4033-4041
Sampling from the Random Linear Model via Stochastic Localization Up to the AMP Threshold
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:4042-4050
qPOTS: Efficient Batch Multiobjective Bayesian Optimization via Pareto Optimal Thompson Sampling
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:4051-4059
Estimating the Spectral Moments of the Kernel Integral Operator from Finite Sample Matrices
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:4060-4068
Enhancing Feature-Specific Data Protection via Bayesian Coordinate Differential Privacy
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:4069-4077
Bayesian Principles Improve Prompt Learning In Vision-Language Models
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:4078-4086
Unbiased and Sign Compression in Distributed Learning: Comparing Noise Resilience via SDEs
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:4087-4095
Privacy in Metalearning and Multitask Learning: Modeling and Separations
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:4096-4104
Visualizing token importance for black-box language models
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:4105-4113
Tight Analysis of Difference-of-Convex Algorithm (DCA) Improves Convergence Rates for Proximal Gradient Descent
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:4114-4122
All or None: Identifiable Linear Properties of Next-Token Predictors in Language Modeling
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:4123-4131
Learning High-dimensional Gaussians from Censored Data
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:4132-4140
Deep Generative Quantile Bayes
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:4141-4149
Double Debiased Machine Learning for Mediation Analysis with Continuous Treatments
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:4150-4158
InfoNCE: Identifying the Gap Between Theory and Practice
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:4159-4167
Achieving $\widetilde\mathcalO(\sqrtT)$ Regret in Average-Reward POMDPs with Known Observation Models
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:4168-4176
Approximate Equivariance in Reinforcement Learning
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:4177-4185
The cost of local and global fairness in Federated Learning
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:4186-4194
Local Stochastic Sensitivity Analysis For Dynamical Systems
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:4195-4203
Learning Gaussian Multi-Index Models with Gradient Flow: Time Complexity and Directional Convergence
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:4204-4212
Variance-Aware Linear UCB with Deep Representation for Neural Contextual Bandits
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:4213-4221
Robust Estimation in metric spaces: Achieving Exponential Concentration with a Fréchet Median
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:4222-4230
From Deep Additive Kernel Learning to Last-Layer Bayesian Neural Networks via Induced Prior Approximation
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:4231-4239
Effective Bayesian Causal Inference via Structural Marginalisation and Autoregressive Orders
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:4240-4248
Linear Submodular Maximization with Bandit Feedback
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:4249-4257
Cross-modality Matching and Prediction of Perturbation Responses with Labeled Gromov-Wasserstein Optimal Transport
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:4258-4266
Signal Recovery from Random Dot-Product Graphs under Local Differential Privacy
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:4267-4275
Synthetic Potential Outcomes and Causal Mixture Identifiability
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:4276-4284
Characterizing the Accuracy-Communication-Privacy Trade-off in Distributed Stochastic Convex Optimization
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:4285-4293
Time-varying Gaussian Process Bandits with Unknown Prior
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:4294-4302
Logarithmic Neyman Regret for Adaptive Estimation of the Average Treatment Effect
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:4303-4311
Behavior-Inspired Neural Networks for Relational Inference
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:4312-4320
MODL: Multilearner Online Deep Learning
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:4321-4329
Active Feature Acquisition for Personalised Treatment Assignment
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:4330-4338
ScoreFusion: Fusing Score-based Generative Models via Kullback–Leibler Barycenters
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:4339-4347
Loss Gradient Gaussian Width based Generalization and Optimization Guarantees
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:4348-4356
On the Power of Multitask Representation Learning with Gradient Descent
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:4357-4365
Graph Machine Learning based Doubly Robust Estimator for Network Causal Effects
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:4366-4374
Cross-Modal Imputation and Uncertainty Estimation for Spatial Transcriptomics
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:4375-4383
M$^2$AD: Multi-Sensor Multi-System Anomaly Detection through Global Scoring and Calibrated Thresholding
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:4384-4392
Prepacking: A Simple Method for Fast Prefilling and Increased Throughput in Large Language Models
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:4393-4401
Stochastic Rounding for LLM Training: Theory and Practice
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:4402-4410
Posterior Mean Matching: Generative Modeling through Online Bayesian Inference
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:4411-4419
Offline Multi-task Transfer RL with Representational Penalization
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:4420-4428
Corruption Robust Offline Reinforcement Learning with Human Feedback
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:4429-4437
Keeping up with dynamic attackers: Certifying robustness to adaptive online data poisoning
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:4438-4446
Bypassing the Exponential Dependency: Looped Transformers Efficiently Learn In-context by Multi-step Gradient Descent
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:4447-4455
Online Assortment and Price Optimization Under Contextual Choice Models
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:4456-4464
SINE: Scalable MPE Inference for Probabilistic Graphical Models using Advanced Neural Embeddings
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:4465-4473
Quantifying Knowledge Distillation using Partial Information Decomposition
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:4474-4482
Efficient and Asymptotically Unbiased Constrained Decoding for Large Language Models
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:4483-4491
Cost-Aware Optimal Pairwise Pure Exploration
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:4492-4500
Understanding Expert Structures on Minimax Parameter Estimation in Contaminated Mixture of Experts
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:4501-4509
Batch, match, and patch: low-rank approximations for score-based variational inference
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:4510-4518
Stochastic Weight Sharing for Bayesian Neural Networks
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:4519-4527
Beyond Discretization: Learning the Optimal Solution Path
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:4528-4536
Faster WIND: Accelerating Iterative Best-of-$N$ Distillation for LLM Alignment
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:4537-4545
Causal Temporal Regime Structure Learning
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:4546-4554
Linearized Wasserstein Barycenters: Synthesis, Analysis, Representational Capacity, and Applications
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:4555-4563
General Staircase Mechanisms for Optimal Differential Privacy
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:4564-4572
Understanding the Effect of GCN Convolutions in Regression Tasks
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:4573-4581
Diffusion Models as Constrained Samplers for Optimization with Unknown Constraints
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:4582-4590
Learning Pareto manifolds in high dimensions: How can regularization help?
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:4591-4599
Optimal Stochastic Trace Estimation in Generative Modeling
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:4600-4608
Beyond Size-Based Metrics: Measuring Task-Specific Complexity in Symbolic Regression
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:4609-4617
Differentially Private Kernelized Contextual Bandits
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:4618-4626
Federated Communication-Efficient Multi-Objective Optimization
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:4627-4635
Understanding the Learning Dynamics of LoRA: A Gradient Flow Perspective on Low-Rank Adaptation in Matrix Factorization
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:4636-4644
Variational Schrödinger Momentum Diffusion
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:4645-4653
Learning to Forget: Bayesian Time Series Forecasting using Recurrent Sparse Spectrum Signature Gaussian Processes
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:4654-4662
The Uniformly Rotated Mondrian Kernel
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:4663-4671
Adversarial Vulnerabilities in Large Language Models for Time Series Forecasting
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:4672-4680
Variational Adversarial Training Towards Policies with Improved Robustness
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:4681-4689
Testing Conditional Independence with Deep Neural Network Based Binary Expansion Testing (DeepBET)
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:4690-4698
Order-Optimal Regret in Distributed Kernel Bandits using Uniform Sampling with Shared Randomness
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:4699-4707
On the Consistent Recovery of Joint Distributions from Conditionals
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:4708-4716
Transfer Neyman-Pearson Algorithm for Outlier Detection
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:4717-4725
I-trustworthy Models. A framework for trustworthiness evaluation of probabilistic classifiers
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:4726-4734
Quantile Additive Trend Filtering
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:4735-4743
A Computation-Efficient Method of Measuring Dataset Quality based on the Coverage of the Dataset
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:4744-4752
Invariant Link Selector for Spatial-Temporal Out-of-Distribution Problem
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:4753-4761
Advancing Fairness in Precision Medicine: A Universal Framework for Optimal Treatment Estimation in Censored Data
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:4762-4770
A Shapley-value Guided Rationale Editor for Rationale Learning
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:4771-4779
Bilevel Reinforcement Learning via the Development of Hyper-gradient without Lower-Level Convexity
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:4780-4788
Regularity in Canonicalized Models: A Theoretical Perspective
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:4789-4797
Graph-based Complexity for Causal Effect by Empirical Plug-in
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:4798-4806
Conditional simulation via entropic optimal transport: Toward non-parametric estimation of conditional Brenier maps
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:4807-4815
A Robust Kernel Statistical Test of Invariance: Detecting Subtle Asymmetries
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:4816-4824
Leveraging Frozen Batch Normalization for Co-Training in Source-Free Domain Adaptation
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:4825-4833
Structure based SAT dataset for analysing GNN generalisation
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:4834-4842
How Well Can Transformers Emulate In-Context Newton’s Method?
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:4843-4851
Nonparametric Distributional Regression via Quantile Regression
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:4852-4860
Learning Stochastic Nonlinear Dynamics with Embedded Latent Transfer Operators
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:4861-4869
Deep Clustering via Probabilistic Ratio-Cut Optimization
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:4870-4878
Gaussian Mean Testing under Truncation
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:4879-4887
Conformal Prediction Under Generalized Covariate Shift with Posterior Drift
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:4888-4896
Robust Offline Policy Learning with Observational Data from Multiple Sources
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:4897-4905
Mixed-Feature Logistic Regression Robust to Distribution Shifts
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:4906-4914
Algorithmic Accountability in Small Data: Sample-Size-Induced Bias Within Classification Metrics
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:4915-4923
Knowledge Graph Completion with Mixed Geometry Tensor Factorization
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:4924-4932
Unconditionally Calibrated Priors for Beta Mixture Density Networks
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:4933-4941
Black-Box Uniform Stability for Non-Euclidean Empirical Risk Minimization
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:4942-4950
Weighted Euclidean Distance Matrices over Mixed Continuous and Categorical Inputs for Gaussian Process Models
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:4951-4959
Robust Classification by Coupling Data Mollification with Label Smoothing
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:4960-4968
Towards Regulatory-Confirmed Adaptive Clinical Trials: Machine Learning Opportunities and Solutions
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:4969-4977
Wasserstein Distributionally Robust Bayesian Optimization with Continuous Context
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:4978-4986
Noise-Aware Differentially Private Variational Inference
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:4987-4995
LITE: Efficiently Estimating Gaussian Probability of Maximality
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:4996-5004
Counting Graphlets of Size k under Local Differential Privacy
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:5005-5013
Sampling from Bayesian Neural Network Posteriors with Symmetric Minibatch Splitting Langevin Dynamics
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:5014-5022
Refined Analysis of Constant Step Size Federated Averaging and Federated Richardson-Romberg Extrapolation
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:5023-5031
On Local Posterior Structure in Deep Ensembles
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:5032-5040
Personalizing Low-Rank Bayesian Neural Networks Via Federated Learning
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:5041-5049
Statistical Guarantees for Lifelong Reinforcement Learning using PAC-Bayes Theory
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:5050-5058
Level Set Teleportation: An Optimization Perspective
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:5059-5067
On the Convergence of Continual Federated Learning Using Incrementally Aggregated Gradients
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:5068-5076
Analyzing Generative Models by Manifold Entropic Metrics
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:5077-5085
DPFL: Decentralized Personalized Federated Learning
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:5086-5094
Density Ratio-based Proxy Causal Learning Without Density Ratios
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:5095-5103
Certifiably Quantisation-Robust training and inference of Neural Networks
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:5104-5112
AlleNoise - large-scale text classification benchmark dataset with real-world label noise
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:5113-5121
Strategic Conformal Prediction
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:5122-5130
Hypernym Bias: Unraveling Deep Classifier Training Dynamics through the Lens of Class Hierarchy
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:5131-5139
Unifying Feature-Based Explanations with Functional ANOVA and Cooperative Game Theory
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:5140-5148
M-HOF-Opt: Multi-Objective Hierarchical Output Feedback Optimization via Multiplier Induced Loss Landscape Scheduling
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:5149-5157
An Empirical Bernstein Inequality for Dependent Data in Hilbert Spaces and Applications
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:5158-5166
Training Neural Samplers with Reverse Diffusive KL Divergence
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:5167-5175
Every Call is Precious: Global Optimization of Black-Box Functions with Unknown Lipschitz Constants
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:5176-5184
Mean-Field Microcanonical Gradient Descent
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:5185-5193
Clustering Context in Off-Policy Evaluation
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:5194-5202
Task-Driven Discrete Representation Learning
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:5203-5211
Emergence of Globally Attracting Fixed Points in Deep Neural Networks With Nonlinear Activations
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:5212-5220
Exposing Privacy Gaps: Membership Inference Attack on Preference Data for LLM Alignment
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:5221-5229
The Strong Product Model for Network Inference without Independence Assumptions
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:5230-5238
A Convex Relaxation Approach to Generalization Analysis for Parallel Positively Homogeneous Networks
; Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:5239-5247
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