rate of convergence

High-Dimensional L2-Boosting: Rate of Convergence JMLR 2025 Rate-Preserving Reductions for Blackwell Approachability COLT 2025 Stochastic Optimization Algorithms for Instrumental Variable Regression with Streaming Data NeurIPS 2024 Unlinked Monotone Regression JMLR 2021 An Efficient Two Step Algorithm for High Dimensional Change Point Regression Models Without Grid Search JMLR 2019 A Sharp Lower Bound for Agnostic Learning with Sample Compression Schemes ALT 2019 Near-optimal method for highly smooth convex optimization COLT 2019 Minimax Bounds on Stochastic Batched Convex Optimization COLT 2018 Natasha 2: Faster Non-Convex Optimization Than SGD NeurIPS 2018 Plug-in Estimators for Conditional Expectations and Probabilities AISTATS 2018 Minimax Estimation of Kernel Mean Embeddings JMLR 2017 Rates of estimation for determinantal point processes COLT 2017 Uniform Deviation Bounds for k-Means Clustering ICML 2017 Consistent Kernel Mean Estimation for Functions of Random Variables NeurIPS 2016 Optimal Ridge Detection using Coverage Risk NeurIPS 2015 Robust Portfolio Optimization NeurIPS 2015 Lower Bounds on Rate of Convergence of Cutting Plane Methods NeurIPS 2010