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Statistical Learning

4076 directly classified papers

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How Sparse Can We Prune A Deep Network: A Fundamental Limit Perspective NIPS 2024
Semi-Supervised Sparse Gaussian Classification: Provable Benefits of Unlabeled Data NIPS 2024
On Efficient and Scalable Computation of the Nonparametric Maximum Likelihood Estimator in Mixture Models JMLR 2024
PAC-Bayes-Chernoff bounds for unbounded losses NIPS 2024
An Online Bootstrap for Time Series AISTATS 2024
Towards Heterogeneous Long-tailed Learning: Benchmarking, Metrics, and Toolbox NIPS 2024
BizBench: A Quantitative Reasoning Benchmark for Business and Finance ACL 2024
Robust variance-regularized risk minimization with concomitant scaling AISTATS 2024
CryoBench: Diverse and challenging datasets for the heterogeneity problem in cryo-EM NIPS 2024
Muffin or Chihuahua? Challenging Multimodal Large Language Models with Multipanel VQA ACL 2024
Effect of Ambient-Intrinsic Dimension Gap on Adversarial Vulnerability AISTATS 2024
RepLiQA: A Question-Answering Dataset for Benchmarking LLMs on Unseen Reference Content NIPS 2024
ANAH: Analytical Annotation of Hallucinations in Large Language Models ACL 2024
Safe and Interpretable Estimation of Optimal Treatment Regimes AISTATS 2024
A Doubly Robust Approach to Sparse Reinforcement Learning AISTATS 2024
Leveraging PAC-Bayes Theory and Gibbs Distributions for Generalization Bounds with Complexity Measures AISTATS 2024
Robust Offline Reinforcement Learning with Heavy-Tailed Rewards AISTATS 2024
Disentangling the Roles of Distinct Cell Classes with Cell-Type Dynamical Systems NIPS 2024
Differentially Private Reward Estimation with Preference Feedback AISTATS 2024
Improved Sample Complexity Analysis of Natural Policy Gradient Algorithm with General Parameterization for Infinite Horizon Discounted Reward Markov Decision Processes AISTATS 2024
Navigating the Maze of Explainable AI: A Systematic Approach to Evaluating Methods and Metrics NIPS 2024
Iterate Averaging in the Quest for Best Test Error JMLR 2024
Spectral Learning of Shared Dynamics Between Generalized-Linear Processes NIPS 2024
On the Statistical Efficiency of Mean-Field Reinforcement Learning with General Function Approximation AISTATS 2024
Testing exchangeability by pairwise betting AISTATS 2024