conftrace_

minimax estimation

37 papers

Explore in graph

Co-occurring keywords

nonparametric estimation (98) sample complexity (1169) statistical learning (351) non-parametric regression (26) robust estimation (168) stochastic block model (146) matrix estimation (34) hidden markov model (302) minimax rate (87) empirical baye (44)

Papers

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 of discontinuous optimal transport maps: The semi-discrete case ICML 2023
Minimax Estimation for Personalized Federated Learning: An Alternative between FedAvg and Local Training? JMLR 2023
Statistical, Robustness, and Computational Guarantees for Sliced Wasserstein Distances NIPS 2022
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
Near-optimal rate of consistency for linear models with missing values ICML 2022
Minimax M-estimation under Adversarial Contamination ICML 2022
Estimation and Quantization of Expected Persistence Diagrams ICML 2021
Private Mean Estimation of Heavy-Tailed Distributions COLT 2020
Context Aware Local Differential Privacy ICML 2020
Minimax Estimation of Conditional Moment Models NIPS 2020
Interplay of minimax estimation and minimax support recovery under sparsity ALT 2019
Covariate-Powered Empirical Bayes Estimation NIPS 2019
Lower Bounds for Locally Private Estimation via Communication Complexity COLT 2019
Achieving the Bayes Error Rate in Stochastic Block Model by SDP, Robustly COLT 2019
Minimax Estimation of Neural Net Distance NIPS 2018
Convex Elicitation of Continuous Properties NIPS 2018
State-by-state Minimax Adaptive Estimation for Nonparametric Hidden {M}arkov Models JMLR 2018
Rate Optimal Estimation for High Dimensional Spatial Covariance Matrices ACML 2017
Minimax Estimation of Kernel Mean Embeddings JMLR 2017
Minimax Estimation of Bandable Precision Matrices NIPS 2017
A Minimax Optimal Algorithm for Crowdsourcing NIPS 2017