minimax rate

Universal Lower Bounds and Optimal Rates: Achieving Minimax Clustering Error in Sub-Exponential Mixture Models COLT 2024 Universally Instance-Optimal Mechanisms for Private Statistical Estimation COLT 2024 Variance estimation in compound decision theory under boundedness NeurIPS 2024 Deep Learning meets Nonparametric Regression: Are Weight-Decayed DNNs Locally Adaptive? ICLR 2023 Kernel-based estimation for partially functional linear model: Minimax rates and randomized sketches JMLR 2023 Minimax Optimal Rate for Parameter Estimation in Multivariate Deviated Models NeurIPS 2023 Near Optimal Heteroscedastic Regression with Symbiotic Learning COLT 2023 Near-optimal learning with average Hölder smoothness NeurIPS 2023 Nonparametric Indirect Active Learning AISTATS 2023 On the Optimality of Nuclear-norm-based Matrix Completion for Problems with Smooth Non-linear Structure JMLR 2023 On the Variance, Admissibility, and Stability of Empirical Risk Minimization NeurIPS 2023 Practical Contextual Bandits with Feedback Graphs NeurIPS 2023 Robust Estimation of Discrete Distributions under Local Differential Privacy ALT 2023 Smoothed Analysis of Sequential Probability Assignment NeurIPS 2023 A cautionary tale on fitting decision trees to data from additive models: generalization lower bounds AISTATS 2022 Achieving Minimax Rates in Pool-Based Batch Active Learning ICML 2022 Adaptive Greedy Algorithm for Moderately Large Dimensions in Kernel Conditional Density Estimation JMLR 2022 Advantage of Deep Neural Networks for Estimating Functions with Singularity on Hypersurfaces JMLR 2022 A new similarity measure for covariate shift with applications to nonparametric regression ICML 2022 A Simple yet Universal Strategy for Online Convex Optimization ICML 2022 Minimax optimal approaches to the label shift problem in non-parametric settings JMLR 2022 On the inability of Gaussian process regression to optimally learn compositional functions NeurIPS 2022 On the Statistical Benefits of Curriculum Learning ICML 2022 Quantile regression with ReLU Networks: Estimators and minimax rates JMLR 2022 Risk bounds for aggregated shallow neural networks using Gaussian priors COLT 2022