minimax rate

An Optimal Reduction of TV-Denoising to Adaptive Online Learning AISTATS 2021 A Statistical Perspective on Coreset Density Estimation AISTATS 2021 Dimension-free empirical entropy estimation NeurIPS 2021 Distributed Estimation with Multiple Samples per User: Sharp Rates and Phase Transition NeurIPS 2021 How Well Generative Adversarial Networks Learn Distributions JMLR 2021 Locally differentially private estimation of functionals of discrete distributions NeurIPS 2021 Near-Optimal Entrywise Anomaly Detection for Low-Rank Matrices with Sub-Exponential Noise ICML 2021 On Variational Inference in Biclustering Models ICML 2021 Optimal Structured Principal Subspace Estimation: Metric Entropy and Minimax Rates JMLR 2021 Theoretical bounds on estimation error for meta-learning ICLR 2021 Better Algorithms for Estimating Non-Parametric Models in Crowd-Sourcing and Rank Aggregation COLT 2020 Beyond UCB: Optimal and Efficient Contextual Bandits with Regression Oracles ICML 2020 Convergence Rates of Variational Inference in Sparse Deep Learning ICML 2020 Extrapolating the profile of a finite population COLT 2020 Fast and Bayes-consistent nearest neighbors AISTATS 2020 Generative Adversarial Nets for Robust Scatter Estimation: A Proper Scoring Rule Perspective JMLR 2020 Minimax Rate for Learning From Pairwise Comparisons in the BTL Model ICML 2020 Non-asymptotic Analysis for Nonparametric Testing COLT 2020 On Suboptimality of Least Squares with Application to Estimation of Convex Bodies COLT 2020 Towards Convergence Rate Analysis of Random Forests for Classification NeurIPS 2020 DBSCAN: Optimal Rates For Density-Based Cluster Estimation JMLR 2019 Estimation of smooth densities in Wasserstein distance COLT 2019 Implicit Regularization for Optimal Sparse Recovery NeurIPS 2019 Low Permutation-rank Matrices: Structural Properties and Noisy Completion JMLR 2019 On the Value of Target Data in Transfer Learning NeurIPS 2019