Statistical Learning

On the Distribution of Deep Clausal Embeddings: A Large Cross-linguistic Study ACL 2019 On the number of variables to use in principal component regression NeurIPS 2019 On Theory for BART AISTATS 2019 On the statistical rate of nonlinear recovery in generative models with heavy-tailed data ICML 2019 Optimal Average-Case Reductions to Sparse PCA: From Weak Assumptions to Strong Hardness COLT 2019 Optimal Learning of Mallows Block Model COLT 2019 Optimal PAC-Bayesian Posteriors for Stochastic Classifiers and their use for Choice of SVM Regularization Parameter ACML 2019 Optimal Testing in the Experiment-rich Regime AISTATS 2019 Order Optimal One-Shot Distributed Learning NeurIPS 2019 Outlier-robust estimation of a sparse linear model using ℓ_1-penalized Huber's M-estimator NeurIPS 2019 Outlier-Robust High-Dimensional Sparse Estimation via Iterative Filtering NeurIPS 2019 PAC-Bayes under potentially heavy tails NeurIPS 2019 PAC-Bayes Un-Expected Bernstein Inequality NeurIPS 2019 Partitioning Structure Learning for Segmented Linear Regression Trees NeurIPS 2019 PASCAL and DPA: A Pilot Study on Using Prosodic Competence Scores to Predict Communicative Skills for Team Working and Public Speaking Interspeech 2019 Performance Evaluation in Machine Learning: The Good, the Bad, the Ugly, and the Way Forward AAAI 2019 Phase Synchronization Between EEG Signals as a Function of Differences Between Stimuli Characteristics Interspeech 2019 Phase transition in PCA with missing data: Reduced signal-to-noise ratio, not sample size! ICML 2019 Planting trees in graphs, and finding them back COLT 2019 Post Selection Inference with Incomplete Maximum Mean Discrepancy Estimator ICLR 2019 Practical and Consistent Estimation of f-Divergences NeurIPS 2019 Precision Matrix Estimation with Noisy and Missing Data AISTATS 2019 Predicting Urban Dispersal Events: A Two-Stage Framework through Deep Survival Analysis on Mobility Data AAAI 2019 Prediction of Spatial Point Processes: Regularized Method with Out-of-Sample Guarantees NeurIPS 2019 Prediction Risk for the Horseshoe Regression JMLR 2019