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Statistical Learning

4076 directly classified papers

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Universally Instance-Optimal Mechanisms for Private Statistical Estimation COLT 2024
Confidence is not Timeless: Modeling Temporal Validity for Rule-based Temporal Knowledge Graph Forecasting ACL 2024
On the Statistical Efficiency of Mean-Field Reinforcement Learning with General Function Approximation AISTATS 2024
Quasi-Bayes meets Vines NIPS 2024
Credal Learning Theory NIPS 2024
Non-vacuous Generalization Bounds for Adversarial Risk in Stochastic Neural Networks AISTATS 2024
Information Capacity Regret Bounds for Bandits with Mediator Feedback JMLR 2024
Multi-modal conformal prediction regions by optimizing convex shape templates L4DC 2024
Near-Interpolators: Rapid Norm Growth and the Trade-Off between Interpolation and Generalization AISTATS 2024
Cousins Of The Vendi Score: A Family Of Similarity-Based Diversity Metrics For Science And Machine Learning AISTATS 2024
Distributional regression: CRPS-error bounds for model fitting, model selection and convex aggregation NIPS 2024
ANAH: Analytical Annotation of Hallucinations in Large Language Models ACL 2024
What’s under the hood: Investigating Automatic Metrics on Meeting Summarization EMNLP 2024
Consistent and Asymptotically Unbiased Estimation of Proper Calibration Errors AISTATS 2024
High-dimensional (Group) Adversarial Training in Linear Regression NIPS 2024
Replicable Uniformity Testing NIPS 2024
Non-parametric classification via expand-and-sparsify representation NIPS 2024
A Universal Growth Rate for Learning with Smooth Surrogate Losses NIPS 2024
Approximate Information Tests on Statistical Submanifolds JMLR 2024
How safe am I given what I see? Calibrated prediction of safety chances for image-controlled autonomy L4DC 2024
On the Performance of Empirical Risk Minimization with Smoothed Data COLT 2024
Fundamental Limits of Non-Linear Low-Rank Matrix Estimation COLT 2024
Statistical Inference for Fairness Auditing JMLR 2024
Evaluating Differentially Private Synthetic Data Generation in High-Stakes Domains EMNLP 2024
Probabilistic Conformal Prediction Using Conditional Random Samples AISTATS 2023