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High-dimensional Non-Gaussian Single Index Models via Thresholded Score Function Estimation ICML 2017 High-Dimensional Structured Quantile Regression ICML 2017 Higher-Order Total Variation Classes on Grids: Minimax Theory and Trend Filtering Methods NeurIPS 2017 Identifying a Minimal Class of Models for High--dimensional Data JMLR 2017 Learning Populations of Parameters NeurIPS 2017 Log-normality and Skewness of Estimated State/Action Values in Reinforcement Learning NeurIPS 2017 Model-Powered Conditional Independence Test NeurIPS 2017 Nonparanormal Information Estimation ICML 2017 Online control of the false discovery rate with decaying memory NeurIPS 2017 On Separability of Loss Functions, and Revisiting Discriminative Vs Generative Models NeurIPS 2017 On Tensor Train Rank Minimization : Statistical Efficiency and Scalable Algorithm NeurIPS 2017 On the Consistency of Quick Shift NeurIPS 2017 On the Distribution of Lexical Features at Multiple Levels of Analysis ACL 2017 On the Propagation of Low-Rate Measurement Error to Subgraph Counts in Large Networks JMLR 2017 Pitch Convergence as an Effect of Perceived Attractiveness and Likability Interspeech 2017 Regularization and the small-ball method II: complexity dependent error rates JMLR 2017 Social Attractiveness in Dialogs Interspeech 2017 Tests of Mutual or Serial Independence of Random Vectors with Applications JMLR 2017 Time for a Change: a Tutorial for Comparing Multiple Classifiers Through Bayesian Analysis JMLR 2017 Uniform Convergence Rates for Kernel Density Estimation ICML 2017 Adaptive Lasso and group-Lasso for functional Poisson regression JMLR 2016 A General Framework for Consistency of Principal Component Analysis JMLR 2016 Analysis of Speaker Recognition Systems in Realistic Scenarios of the SITW 2016 Challenge Interspeech 2016 Barron and Cover’s Theory in Supervised Learning and its Application to Lasso ICML 2016 Clustering with Bregman Divergences: an Asymptotic Analysis NeurIPS 2016