Statistical Learning

Universal consistency and minimax rates for online Mondrian Forests NeurIPS 2017 Universality of Bayesian mixture predictors ALT 2017 Variable Importance Using Decision Trees NeurIPS 2017 Variance-based Regularization with Convex Objectives NeurIPS 2017 Whitening-Free Least-Squares Non-Gaussian Component Analysis ACML 2017 ZigZag: A New Approach to Adaptive Online Learning COLT 2017 Accurate Robust and Efficient Error Estimation for Decision Trees ICML 2016 A Consistent Information Criterion for Support Vector Machines in Diverging Model Spaces JMLR 2016 A Consistent Regularization Approach for Structured Prediction NeurIPS 2016 Acoustic Properties of Formality in Conversational Japanese Interspeech 2016 Adaptive Lasso and group-Lasso for functional Poisson regression JMLR 2016 Adaptive Learning with Robust Generalization Guarantees COLT 2016 A DNN-HMM Approach to Story Segmentation Interspeech 2016 A General Framework for Consistency of Principal Component Analysis JMLR 2016 Agnostic Estimation for Misspecified Phase Retrieval Models NeurIPS 2016 A Kernelized Stein Discrepancy for Goodness-of-fit Tests ICML 2016 A Kernel Test of Goodness of Fit ICML 2016 Anchor-Free Correlated Topic Modeling: Identifiability and Algorithm NeurIPS 2016 An equivalence between high dimensional Bayes optimal inference and M-estimation NeurIPS 2016 An Error Bound for L1-norm Support Vector Machine Coefficients in Ultra-high Dimension JMLR 2016 An urn model for majority voting in classification ensembles NeurIPS 2016 A Paradigm for Building Generalized Models of Human Image Perception Through Data Fusion CVPR 2016 A Practical Scheme and Fast Algorithm to Tune the Lasso With Optimality Guarantees JMLR 2016 Are Random Forests Truly the Best Classifiers? JMLR 2016 ARET — Automatic Reading of Educational Texts for Visually Impaired Students Interspeech 2016