statistical inference

Exact Inference on Gaussian Graphical Models of Arbitrary Topology using Path-Sums JMLR 2016 Statistical Inference for Cluster Trees NeurIPS 2016 Statistical Inference for Pairwise Graphical Models Using Score Matching NeurIPS 2016 The Statistical Performance of Collaborative Inference JMLR 2016 Evaluating the statistical significance of biclusters NeurIPS 2015 Generalized Linear Models for Aggregated Data AISTATS 2015 On Statistical Analysis of Neuroimages With Imperfect Registration ICCV 2015 Statistical Inference Models for Image Datasets With Systematic Variations CVPR 2015 Statistical Topological Data Analysis using Persistence Landscapes JMLR 2015 V-Matrix Method of Solving Statistical Inference Problems JMLR 2015 Extremal Mechanisms for Local Differential Privacy NeurIPS 2014 Gaussian Approximation of Collective Graphical Models ICML 2014 Multi-scale Graphical Models for Spatio-Temporal Processes NeurIPS 2014 The More, the Merrier: the Blessing of Dimensionality for Learning Large Gaussian Mixtures COLT 2014 Central Limit Theorems for Conditional Markov Chains AISTATS 2013 Composite Statistical Inference for Semantic Segmentation CVPR 2013 Confidence Intervals and Hypothesis Testing for High-Dimensional Statistical Models NeurIPS 2013 Mapping paradigm ontologies to and from the brain NeurIPS 2013 Self-Organized Neural Learning of Statistical Inference from High-Dimensional Data IJCAI 2013 What do row and column marginals reveal about your dataset? NeurIPS 2013 Assessing Blinding in Clinical Trials NeurIPS 2012 Collective Graphical Models NeurIPS 2011 Differentially Private M-Estimators NeurIPS 2011 Information Rates and Optimal Decoding in Large Neural Populations NeurIPS 2011 Improvements to the Sequence Memoizer NeurIPS 2010