Statistical Learning

Selective Inference for Sparse High-Order Interaction Models ICML 2017 Sketched Ridge Regression: Optimization Perspective, Statistical Perspective, and Model Averaging ICML 2017 Sparse + Group-Sparse Dirty Models: Statistical Guarantees without Unreasonable Conditions and a Case for Non-Convexity ICML 2017 Statistical and Computational Guarantees for the Baum-Welch Algorithm JMLR 2017 Statistical Cost Sharing NeurIPS 2017 Statistical Inference for Incomplete Ranking Data: The Case of Rank-Dependent Coarsening ICML 2017 Statistical Inference with Unnormalized Discrete Models and Localized Homogeneous Divergences JMLR 2017 Testing Bayesian Networks COLT 2017 Tests of Mutual or Serial Independence of Random Vectors with Applications JMLR 2017 The Acoustics of Word Stress in Czech as a Function of Speaking Style Interspeech 2017 The Formant Dynamics of Long Close Vowels in Three Varieties of Swedish Interspeech 2017 The Hidden Hubs Problem COLT 2017 The Impact of Random Models on Clustering Similarity JMLR 2017 The LENA System Applied to Swedish: Reliability of the Adult Word Count Estimate Interspeech 2017 The MIT-LL, JHU and LRDE NIST 2016 Speaker Recognition Evaluation System Interspeech 2017 The power of absolute discounting: all-dimensional distribution estimation NeurIPS 2017 Thresholding Bandits with Augmented UCB IJCAI 2017 Thresholding Based Outlier Robust PCA COLT 2017 Tight Bounds on ℓ_1 Approximation and Learning of Self-Bounding Functions ALT 2017 Time for a Change: a Tutorial for Comparing Multiple Classifiers Through Bayesian Analysis JMLR 2017 To See or not to See: Interlocutor Visibility and Likeability Influence Convergence in Intonation Interspeech 2017 Trimmed Density Ratio Estimation NeurIPS 2017 Unbiased estimates for linear regression via volume sampling NeurIPS 2017 Understanding Black-box Predictions via Influence Functions ICML 2017 Uniform Deviation Bounds for k-Means Clustering ICML 2017