Statistical Learning

Relative Contributions of Amplitude and Phase to the Intelligibility Advantage of Ideal Binary Masked Sentences Interspeech 2016 Scalable Gaussian Processes for Characterizing Multidimensional Change Surfaces AISTATS 2016 Scaling-up Empirical Risk Minimization: Optimization of Incomplete U-statistics JMLR 2016 Score Permutation Based Finite Sample Inference for Generalized AutoRegressive Conditional Heteroskedasticity (GARCH) Models AISTATS 2016 Selective inference for group-sparse linear models NeurIPS 2016 Semiparametric Differential Graph Models NeurIPS 2016 Spectral M-estimation with Applications to Hidden Markov Models AISTATS 2016 Spectral Methods Meet EM: A Provably Optimal Algorithm for Crowdsourcing JMLR 2016 Square Root Graphical Models: Multivariate Generalizations of Univariate Exponential Families that Permit Positive Dependencies ICML 2016 Stability and Generalization in Structured Prediction JMLR 2016 Statistical Inference for Cluster Trees NeurIPS 2016 Stratified Sampling Meets Machine Learning ICML 2016 Structure-Blind Signal Recovery NeurIPS 2016 Structured Prediction Theory Based on Factor Graph Complexity NeurIPS 2016 Supervised learning through the lens of compression NeurIPS 2016 Temporal Action Detection Using a Statistical Language Model CVPR 2016 The Discourse Marker “so” in Turn-Taking and Turn-Releasing Behavior Interspeech 2016 The Effects of Modified Speech Styles on Intelligibility for Non-Native Listeners Interspeech 2016 The knockoff filter for FDR control in group-sparse and multitask regression ICML 2016 The Multiple Quantile Graphical Model NeurIPS 2016 The Optimal Sample Complexity of PAC Learning JMLR 2016 The Power of Adaptivity in Identifying Statistical Alternatives NeurIPS 2016 The Rhythmic Constraint on Prosodic Boundaries in Mandarin Chinese Based on Corpora of Silent Reading and Speech Perception Interspeech 2016 The Robustness of Estimator Composition NeurIPS 2016 The Statistical Performance of Collaborative Inference JMLR 2016