Statistics

Divergences and Risks for Multiclass Experiments COLT 2012 Ensemble weighted kernel estimators for multivariate entropy estimation NeurIPS 2012 Exponential Concentration for Mutual Information Estimation with Application to Forests NeurIPS 2012 Fast Resampling Weighted v-Statistics NeurIPS 2012 Fused sparsity and robust estimation for linear models with unknown variance NeurIPS 2012 High-Dimensional Gaussian Graphical Model Selection: Walk Summability and Local Separation Criterion JMLR 2012 Kernels Based Tests with Non-asymptotic Bootstrap Approaches for Two-sample Problems COLT 2012 L1 Covering Numbers for Uniformly Bounded Convex Functions COLT 2012 Learning High-Density Regions for a Generalized Kolmogorov-Smirnov Test in High-Dimensional Data NeurIPS 2012 Locating Changes in Highly Dependent Data with Unknown Number of Change Points NeurIPS 2012 Meta-Gaussian Information Bottleneck NeurIPS 2012 Mixability in Statistical Learning NeurIPS 2012 Multi-Task Averaging NeurIPS 2012 Nonparametric Reduced Rank Regression NeurIPS 2012 Optimal kernel choice for large-scale two-sample tests NeurIPS 2012 Private Convex Empirical Risk Minimization and High-dimensional Regression COLT 2012 Rare Probability Estimation under Regularly Varying Heavy Tails COLT 2012 Semiparametric Principal Component Analysis NeurIPS 2012 Smooth-projected Neighborhood Pursuit for High-dimensional Nonparanormal Graph Estimation NeurIPS 2012 Stability of Density-Based Clustering JMLR 2012 Structure estimation for discrete graphical models: Generalized covariance matrices and their inverses NeurIPS 2012 Testing for Membership to the IFRA and the NBU Classes of Distributions AISTATS 2012 The Optimality of Jeffreys Prior for Online Density Estimation and the Asymptotic Normality of Maximum Likelihood Estimators COLT 2012 The Perturbed Variation NeurIPS 2012 Tight Bounds on Profile Redundancy and Distinguishability NeurIPS 2012