Statistical Learning

Supervised Binary Hash Code Learning with Jensen Shannon Divergence ICCV 2013 The lasso, persistence, and cross-validation ICML 2013 Thompson Sampling for Contextual Bandits with Linear Payoffs ICML 2013 Transition Matrix Estimation in High Dimensional Time Series ICML 2013 Two-Sided Exponential Concentration Bounds for Bayes Error Rate and Shannon Entropy ICML 2013 Ultrahigh Dimensional Feature Screening via RKHS Embeddings AISTATS 2013 Variable Selection in High-Dimension with Random Designs and Orthogonal Matching Pursuit JMLR 2013 A Comparison of the Lasso and Marginal Regression JMLR 2012 Active Comparison of Prediction Models NeurIPS 2012 Analysis of a Random Forests Model JMLR 2012 Ancestor Sampling for Particle Gibbs NeurIPS 2012 A Polynomial-time Form of Robust Regression NeurIPS 2012 Approximate Message Passing with Consistent Parameter Estimation and Applications to Sparse Learning NeurIPS 2012 A Spectral Algorithm for Latent Dirichlet Allocation NeurIPS 2012 Bayesian Comparison of Machine Learning Algorithms on Single and Multiple Datasets AISTATS 2012 Bayesian estimation of discrete entropy with mixtures of stick-breaking priors NeurIPS 2012 Classification Calibration Dimension for General Multiclass Losses NeurIPS 2012 Coding efficiency and detectability of rate fluctuations with non-Poisson neuronal firing NeurIPS 2012 Communication-Efficient Algorithms for Statistical Optimization NeurIPS 2012 Competitive Classification and Closeness Testing COLT 2012 Compressive Sensing MRI with Wavelet Tree Sparsity NeurIPS 2012 Conditional Validity of Inductive Conformal Predictors ACML 2012 Consistency and Rates for Clustering with DBSCAN AISTATS 2012 Consistency of Nearest Neighbor Classification under Selective Sampling COLT 2012 Consistent Model Selection Criteria on High Dimensions JMLR 2012