Statistics

Localized Complexities for Transductive Learning COLT 2014 Maximum Mean Discrepancy for Class Ratio Estimation: Convergence Bounds and Kernel Selection ICML 2014 Minimax-optimal Inference from Partial Rankings NeurIPS 2014 Multivariate f-divergence Estimation With Confidence NeurIPS 2014 Near-Optimal-Sample Estimators for Spherical Gaussian Mixtures NeurIPS 2014 Poisson Process Jumping between an Unknown Number of Rates: Application to Neural Spike Data NeurIPS 2014 Quantized Estimation of Gaussian Sequence Models in Euclidean Balls NeurIPS 2014 Rates of Convergence for Nearest Neighbor Classification NeurIPS 2014 The sample complexity of agnostic learning under deterministic labels COLT 2014 Adaptivity to Local Smoothness and Dimension in Kernel Regression NeurIPS 2013 A Kernel Test for Three-Variable Interactions NeurIPS 2013 Algorithms and Hardness for Robust Subspace Recovery COLT 2013 A simple example of Dirichlet process mixture inconsistency for the number of components NeurIPS 2013 A Unified Robust Regression Model for Lasso-like Algorithms ICML 2013 Auxiliary-variable Exact Hamiltonian Monte Carlo Samplers for Binary Distributions NeurIPS 2013 B-test: A Non-parametric, Low Variance Kernel Two-sample Test NeurIPS 2013 Classifier Selection using the Predicate Depth JMLR 2013 Cluster Trees on Manifolds NeurIPS 2013 Confidence Intervals and Hypothesis Testing for High-Dimensional Statistical Models NeurIPS 2013 Density estimation from unweighted k-nearest neighbor graphs: a roadmap NeurIPS 2013 Differentially Private Feature Selection via Stability Arguments, and the Robustness of the Lasso COLT 2013 Estimating LASSO Risk and Noise Level NeurIPS 2013 Estimating the Unseen: Improved Estimators for Entropy and other Properties NeurIPS 2013 Estimation of Extreme Values and Associated Level Sets of a Regression Function via Selective Sampling COLT 2013 Generalized Method-of-Moments for Rank Aggregation NeurIPS 2013