minimax optimal

Maximum Likelihood Estimation for Learning Populations of Parameters ICML 2019 Minimax Optimal Estimation of Approximate Differential Privacy on Neighboring Databases NeurIPS 2019 Active Learning for Non-Parametric Regression Using Purely Random Trees NeurIPS 2018 Adaptivity to Smoothness in X-armed bandits COLT 2018 Learning from Comparisons and Choices JMLR 2018 Learning Without Mixing: Towards A Sharp Analysis of Linear System Identification COLT 2018 Refining the Confidence Level for Optimistic Bandit Strategies JMLR 2018 Minimax-optimal semi-supervised regression on unknown manifolds AISTATS 2017 Two-Sample Tests for Large Random Graphs Using Network Statistics COLT 2017 Optimal Learning Rates for Localized SVMs JMLR 2016 Competitive Distribution Estimation: Why is Good-Turing Good NeurIPS 2015 On Estimating L_2^2 Divergence AISTATS 2015 S2: An Efficient Graph Based Active Learning Algorithm with Application to Nonparametric Classification COLT 2015 Simple regret for infinitely many armed bandits ICML 2015 Minimax-optimal Inference from Partial Rankings NeurIPS 2014 Tighten after Relax: Minimax-Optimal Sparse PCA in Polynomial Time NeurIPS 2014 How to Hedge an Option Against an Adversary: Black-Scholes Pricing is Minimax Optimal NeurIPS 2013 Online allocation and homogeneous partitioning for piecewise constant mean-approximation NeurIPS 2012 Towards Minimax Policies for Online Linear Optimization with Bandit Feedback COLT 2012 CAKE: Convex Adaptive Kernel Density Estimation AISTATS 2011