Statistics

The Randomized Dependence Coefficient NeurIPS 2013 A Comparison of the Lasso and Marginal Regression JMLR 2012 Adaptive Stratified Sampling for Monte-Carlo integration of Differentiable functions NeurIPS 2012 Assessing Blinding in Clinical Trials NeurIPS 2012 Bayesian estimation of discrete entropy with mixtures of stick-breaking priors NeurIPS 2012 Competitive Classification and Closeness Testing COLT 2012 Conditional Validity of Inductive Conformal Predictors ACML 2012 Dimensionality Dependent PAC-Bayes Margin Bound NeurIPS 2012 Ensemble weighted kernel estimators for multivariate entropy estimation NeurIPS 2012 Fast Resampling Weighted v-Statistics NeurIPS 2012 Kernels Based Tests with Non-asymptotic Bootstrap Approaches for Two-sample Problems 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 Minimax Rates of Estimation for Sparse PCA in High Dimensions AISTATS 2012 Mixability in Statistical Learning NeurIPS 2012 Random Utility Theory for Social Choice NeurIPS 2012 Rare Probability Estimation under Regularly Varying Heavy Tails COLT 2012 Semiparametric Principal Component Analysis NeurIPS 2012 Testing for Membership to the IFRA and the NBU Classes of Distributions AISTATS 2012 The Coloured Noise Expansion and Parameter Estimation of Diffusion Processes NeurIPS 2012 The Perturbed Variation NeurIPS 2012 Transelliptical Component Analysis NeurIPS 2012 Transelliptical Graphical Models NeurIPS 2012 Wilks’ phenomenon and penalized likelihood-ratio test for nonparametric curve registration AISTATS 2012 A More Powerful Two-Sample Test in High Dimensions using Random Projection NeurIPS 2011