metric entropy

An Empirical Bayes Perspective on Heteroskedastic Mean Estimation COLT 2026 Statistical Learning Theory for Neural Operators JMLR 2026 Permutation Invariant Functions: Statistical Testing, Density Estimation, and Metric Entropy AISTATS 2025 Learning with Norm Constrained, Over-parameterized, Two-layer Neural Networks JMLR 2024 Lower Complexity Adaptation for Empirical Entropic Optimal Transport JMLR 2024 Entropic characterization of optimal rates for learning Gaussian mixtures COLT 2023 Towards Empirical Process Theory for Vector-Valued Functions: Metric Entropy of Smooth Function Classes ALT 2023 A Model-Agnostic Randomized Learning Framework based on Random Hypothesis Subspace Sampling ICML 2022 Metric Entropy Duality and the Sample Complexity of Outcome Indistinguishability ALT 2022 Single Trajectory Nonparametric Learning of Nonlinear Dynamics COLT 2022 Concentration of Non-Isotropic Random Tensors with Applications to Learning and Empirical Risk Minimization COLT 2021 Optimal Structured Principal Subspace Estimation: Metric Entropy and Minimax Rates JMLR 2021 A Chaining Algorithm for Online Nonparametric Regression COLT 2015 A New Look at Nearest Neighbours: Identifying Benign Input Geometries via Random Projections ACML 2015