minimax optimality

Optimal Rates for Vector-Valued Spectral Regularization Learning Algorithms NeurIPS 2024 Optimistic Search: Change Point Estimation for Large-scale Data via Adaptive Logarithmic Queries JMLR 2024 Rates of convergence for density estimation with generative adversarial networks JMLR 2024 Simple Minimax Optimal Byzantine Robust Algorithm for Nonconvex Objectives with Uniform Gradient Heterogeneity ICLR 2024 Stochastic Approximation with Decision-Dependent Distributions: Asymptotic Normality and Optimality JMLR 2024 Structured Optimal Variational Inference for Dynamic Latent Space Models JMLR 2024 Towards Minimax Optimality of Model-based Robust Reinforcement Learning UAI 2024 Learning Functional Distributions with Private Labels ICML 2023 Masked Bayesian Neural Networks : Theoretical Guarantee and its Posterior Inference ICML 2023 Minimax Nonparametric Two-Sample Test under Adversarial Losses AISTATS 2023 Minimax-Optimal Location Estimation NeurIPS 2023 Minimax optimal testing by classification COLT 2023 Nearly Minimax Optimal Offline Reinforcement Learning with Linear Function Approximation: Single-Agent MDP and Markov Game ICLR 2023 Near Optimal Heteroscedastic Regression with Symbiotic Learning COLT 2023 On the Estimation of Derivatives Using Plug-in Kernel Ridge Regression Estimators JMLR 2023 On the Optimality of Misspecified Kernel Ridge Regression ICML 2023 Optimal Convergence Rates for Distributed Nystroem Approximation JMLR 2023 Regularization and Variance-Weighted Regression Achieves Minimax Optimality in Linear MDPs: Theory and Practice ICML 2023 Simple Binary Hypothesis Testing under Local Differential Privacy and Communication Constraints COLT 2023 The Art of BART: Minimax Optimality over Nonhomogeneous Smoothness in High Dimension JMLR 2023 Thompson Sampling with Less Exploration is Fast and Optimal ICML 2023 Towards Minimax Optimal Reward-free Reinforcement Learning in Linear MDPs ICLR 2023 When can Regression-Adjusted Control Variate Help? Rare Events, Sobolev Embedding and Minimax Optimality NeurIPS 2023 KSD Aggregated Goodness-of-fit Test NeurIPS 2022 Machine Learning For Elliptic PDEs: Fast Rate Generalization Bound, Neural Scaling Law and Minimax Optimality ICLR 2022