Statistical Learning

Spectrum Dependent Learning Curves in Kernel Regression and Wide Neural Networks ICML 2020 Spread Divergence ICML 2020 Stable Regression: On the Power of Optimization over Randomization JMLR 2020 Statistical and Topological Properties of Sliced Probability Divergences NeurIPS 2020 Statistical Guarantees of Distributed Nearest Neighbor Classification NeurIPS 2020 Statistical Learning with a Nuisance Component (Extended Abstract) IJCAI 2020 Statistically Efficient Off-Policy Policy Gradients ICML 2020 Statistical Parsing of Tree Wrapping Grammars COLING 2020 Statistical Power and Translationese in Machine Translation Evaluation EMNLP 2020 Statistical-Query Lower Bounds via Functional Gradients NeurIPS 2020 Stretching the Effectiveness of MLE from Accuracy to Bias for Pairwise Comparisons AISTATS 2020 Structure Learning from Related Data Sets with a Hierarchical Bayesian Score PGM 2020 Superpolynomial Lower Bounds for Learning One-Layer Neural Networks using Gradient Descent ICML 2020 SupMMD: A Sentence Importance Model for Extractive Summarization using Maximum Mean Discrepancy EMNLP 2020 SURF: A Simple, Universal, Robust, Fast Distribution Learning Algorithm NeurIPS 2020 SVRG for Policy Evaluation with Fewer Gradient Evaluations IJCAI 2020 Synthetic Data Generators -- Sequential and Private NeurIPS 2020 Temporally-Informed Analysis of Named Entity Recognition ACL 2020 Text and Causal Inference: A Review of Using Text to Remove Confounding from Causal Estimates ACL 2020 The All-or-Nothing Phenomenon in Sparse Tensor PCA NeurIPS 2020 The Curse of Performance Instability in Analysis Datasets: Consequences, Source, and Suggestions EMNLP 2020 The EM Algorithm gives Sample-Optimality for Learning Mixtures of Well-Separated Gaussians COLT 2020 The estimation error of general first order methods COLT 2020 The impact of preprint servers in the formation of novel ideas EMNLP 2020 The Importance of the Test Set Size in Quantification Assessment IJCAI 2020