minimax optimal

Enjoying Non-linearity in Multinomial Logistic Bandits: A Minimax-Optimal Algorithm ALT 2026 Error Analysis for Deep ReLU Feedforward Density-Ratio Estimation with Bregman Divergence JMLR 2026 Conditional Diffusion Models are Minimax-Optimal and Manifold-Adaptive for Conditional Distribution Estimation ICLR 2025 Density Estimation Using the Perceptron JMLR 2025 Nonparametric Regression on Random Geometric Graphs Sampled from Submanifolds JMLR 2025 Optimal Functional Bilinear Regression with Two-dimensional Functional Covariates via Reproducing Kernel Hilbert Space JMLR 2025 Recovering Labels from Crowdsourced Data: an Optimal and Polynomial-Time Method COLT 2025 Almost Minimax Optimal Best Arm Identification in Piecewise Stationary Linear Bandits NeurIPS 2024 Bayesian Coreset Optimization for Personalized Federated Learning ICLR 2024 Distribution Learning via Neural Differential Equations: A Nonparametric Statistical Perspective JMLR 2024 Feel-Good Thompson Sampling for Contextual Dueling Bandits ICML 2024 Minimax optimal density estimation using a shallow generative model with a one-dimensional latent variable AISTATS 2024 Nearly Minimax Optimal Submodular Maximization with Bandit Feedback NeurIPS 2024 Non-parametric classification via expand-and-sparsify representation NeurIPS 2024 On the Optimality of Misspecified Spectral Algorithms JMLR 2024 Optimal Rates for Vector-Valued Spectral Regularization Learning Algorithms NeurIPS 2024 Rates of convergence for density estimation with generative adversarial networks JMLR 2024 Robust Nonparametric Regression under Poisoning Attack AAAI 2024 Settling the sample complexity of online reinforcement learning COLT 2024 Span-Based Optimal Sample Complexity for Weakly Communicating and General Average Reward MDPs NeurIPS 2024 Statistical Efficiency of Distributional Temporal Difference Learning NeurIPS 2024 Sub-optimal Experts mitigate Ambiguity in Inverse Reinforcement Learning NeurIPS 2024 Transformers are Minimax Optimal Nonparametric In-Context Learners NeurIPS 2024 Diffusion Models are Minimax Optimal Distribution Estimators ICML 2023 Distributed Contextual Linear Bandits with Minimax Optimal Communication Cost ICML 2023