Statistics

Minimax Estimation of Maximum Mean Discrepancy with Radial Kernels NeurIPS 2016 Mixed vine copulas as joint models of spike counts and local field potentials NeurIPS 2016 Mixture Proportion Estimation via Kernel Embeddings of Distributions ICML 2016 Multi-scale Classification using Localized Spatial Depth JMLR 2016 Multivariate Spearman's ρ for Aggregating Ranks Using Copulas JMLR 2016 Multivariate tests of association based on univariate tests NeurIPS 2016 Mutual information for symmetric rank-one matrix estimation: A proof of the replica formula NeurIPS 2016 On Quantile Regression in Reproducing Kernel Hilbert Spaces with the Data Sparsity Constraint JMLR 2016 On the Estimation of the Gradient Lines of a Density and the Consistency of the Mean-Shift Algorithm JMLR 2016 Open Problem: Property Elicitation and Elicitation Complexity COLT 2016 Optimal Estimation of Derivatives in Nonparametric Regression JMLR 2016 Optimal Learning via the Fourier Transform for Sums of Independent Integer Random Variables COLT 2016 Penalized Maximum Likelihood Estimation of Multi-layered Gaussian Graphical Models JMLR 2016 Power of Ordered Hypothesis Testing ICML 2016 Precision Matrix Estimation in High Dimensional Gaussian Graphical Models with Faster Rates AISTATS 2016 Should We Really Use Post-Hoc Tests Based on Mean-Ranks? JMLR 2016 Sparse PCA via Covariance Thresholding JMLR 2016 Sparse Representation of Multivariate Extremes with Applications to Anomaly Ranking AISTATS 2016 Statistical Inference for Pairwise Graphical Models Using Score Matching NeurIPS 2016 Structure-Blind Signal Recovery NeurIPS 2016 The Constrained Dantzig Selector with Enhanced Consistency JMLR 2016 The Optimal Sample Complexity of PAC Learning JMLR 2016 The Robustness of Estimator Composition NeurIPS 2016 Truthful Univariate Estimators ICML 2016 Uncalibrated Photometric Stereo by Stepwise Optimization Using Principal Components of Isotropic BRDFs CVPR 2016