Statistics

Comparing Different Methods for Analyzing ERP Signals Interspeech 2016 Conditional Probability Estimation PGM 2016 Efficient Nonparametric Smoothness Estimation NeurIPS 2016 ERRATA: On the Estimation of the Gradient Lines of a Density and the Consistency of the Mean-Shift Algorithm JMLR 2016 Experimental Design on a Budget for Sparse Linear Models and Applications ICML 2016 Finding significant combinations of features in the presence of categorical covariates NeurIPS 2016 Guarding against Spurious Discoveries in High Dimensions JMLR 2016 Interpretable Distribution Features with Maximum Testing Power NeurIPS 2016 Learning from Survey Training Samples: Rate Bounds for Horvitz-Thompson Risk Minimizers ACML 2016 Measuring Dependence Powerfully and Equitably JMLR 2016 Optimal Estimation of Derivatives in Nonparametric Regression JMLR 2016 Parameter Estimation for Generalized Thurstone Choice Models ICML 2016 Power of Ordered Hypothesis Testing ICML 2016 Quantifying Uncertainty in Random Forests via Confidence Intervals and Hypothesis Tests JMLR 2016 Quantized Random Projections and Non-Linear Estimation of Cosine Similarity NeurIPS 2016 Should We Really Use Post-Hoc Tests Based on Mean-Ranks? JMLR 2016 Statistical Inference for Pairwise Graphical Models Using Score Matching NeurIPS 2016 Testing for Differences in Gaussian Graphical Models: Applications to Brain Connectivity NeurIPS 2016 Competitive Distribution Estimation: Why is Good-Turing Good NeurIPS 2015 Consistent estimation of dynamic and multi-layer block models ICML 2015 Empirical Localization of Homogeneous Divergences on Discrete Sample Spaces NeurIPS 2015 Evaluating the statistical significance of biclusters NeurIPS 2015 Fast Two-Sample Testing with Analytic Representations of Probability Measures NeurIPS 2015 Measuring Sample Quality with Stein's Method NeurIPS 2015 Mixing Time Estimation in Reversible Markov Chains from a Single Sample Path NeurIPS 2015