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Statistical Learning

4076 directly classified papers

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Papers

Logistic Regression Under Network Dependence JMLR 2024
How Reliable Are Automatic Evaluation Methods for Instruction-Tuned LLMs? EMNLP 2024
Distributionally Robust Performative Prediction NIPS 2024
On the Statistical Efficiency of Mean-Field Reinforcement Learning with General Function Approximation AISTATS 2024
Quasi-Bayes meets Vines NIPS 2024
Occupancy-based Policy Gradient: Estimation, Convergence, and Optimality NIPS 2024
Credal Learning Theory NIPS 2024
Non-vacuous Generalization Bounds for Adversarial Risk in Stochastic Neural Networks AISTATS 2024
Exploration of the Search Space of Gaussian Graphical Models for Paired Data JMLR 2024
Credit Attribution and Stable Compression NIPS 2024
Unlabeled Principal Component Analysis and Matrix Completion JMLR 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
Consistent and Asymptotically Unbiased Estimation of Proper Calibration Errors AISTATS 2024
High-dimensional (Group) Adversarial Training in Linear Regression NIPS 2024
Adjusted Wasserstein Distributionally Robust Estimator in Statistical Learning JMLR 2024
Generalization and Stability of Interpolating Neural Networks with Minimal Width JMLR 2024
Hardness of Learning Neural Networks under the Manifold Hypothesis NIPS 2024
Learning Cut Generating Functions for Integer Programming NIPS 2024
Deep Copula-Based Survival Analysis for Dependent Censoring with Identifiability Guarantees AAAI 2024
How safe am I given what I see? Calibrated prediction of safety chances for image-controlled autonomy L4DC 2024
Optimal Algorithms for Augmented Testing of Discrete Distributions NIPS 2024
Examining the robustness of LLM evaluation to the distributional assumptions of benchmarks ACL 2024
Approximating mutual information of high-dimensional variables using learned representations NIPS 2024