minimax estimation

Persistence Diagrams Estimation of Multivariate Piecewise Hölder-continuous Signals JMLR 2026 Estimation of Large Zipfian Distributions with Sort and Snap AISTATS 2025 Differentially Private Reward Estimation with Preference Feedback AISTATS 2024 Optimal score estimation via empirical Bayes smoothing COLT 2024 Entropic characterization of optimal rates for learning Gaussian mixtures COLT 2023 Minimax Estimation for Personalized Federated Learning: An Alternative between FedAvg and Local Training? JMLR 2023 Minimax estimation of discontinuous optimal transport maps: The semi-discrete case ICML 2023 Adaptive Greedy Algorithm for Moderately Large Dimensions in Kernel Conditional Density Estimation JMLR 2022 A Minimax Learning Approach to Off-Policy Evaluation in Confounded Partially Observable Markov Decision Processes ICML 2022 Minimax M-estimation under Adversarial Contamination ICML 2022 Near-optimal rate of consistency for linear models with missing values ICML 2022 Statistical, Robustness, and Computational Guarantees for Sliced Wasserstein Distances NeurIPS 2022 Estimation and Quantization of Expected Persistence Diagrams ICML 2021 Context Aware Local Differential Privacy ICML 2020 Minimax Estimation of Conditional Moment Models NeurIPS 2020 Private Mean Estimation of Heavy-Tailed Distributions COLT 2020 Achieving the Bayes Error Rate in Stochastic Block Model by SDP, Robustly COLT 2019 Covariate-Powered Empirical Bayes Estimation NeurIPS 2019 Interplay of minimax estimation and minimax support recovery under sparsity ALT 2019 Lower Bounds for Locally Private Estimation via Communication Complexity COLT 2019 Convex Elicitation of Continuous Properties NeurIPS 2018 Minimax Estimation of Neural Net Distance NeurIPS 2018 State-by-state Minimax Adaptive Estimation for Nonparametric Hidden {M}arkov Models JMLR 2018 A Minimax Optimal Algorithm for Crowdsourcing NeurIPS 2017 Minimax Estimation of Bandable Precision Matrices NeurIPS 2017