Statistical Learning

Not All Claims are Created Equal: Choosing the Right Statistical Approach to Assess Hypotheses ACL 2020 Obfuscation via Information Density Estimation AISTATS 2020 Off-Policy Evaluation and Learning for External Validity under a Covariate Shift NeurIPS 2020 On Conditional Versus Marginal Bias in Multi-Armed Bandits ICML 2020 On Differentially Private Stochastic Convex Optimization with Heavy-tailed Data ICML 2020 On Forgetting to Cite Older Papers: An Analysis of the ACL Anthology ACL 2020 On Generalization Bounds of a Family of Recurrent Neural Networks AISTATS 2020 On Learning Ising Models under Huber's Contamination Model NeurIPS 2020 On Log-Loss Scores and (No) Privacy EMNLP 2020 On Minimax Optimality of GANs for Robust Mean Estimation AISTATS 2020 On Second-Order Group Influence Functions for Black-Box Predictions ICML 2020 On Semi-parametric Inference for BART ICML 2020 On Suboptimality of Least Squares with Application to Estimation of Convex Bodies COLT 2020 On the Equivalence between Online and Private Learnability beyond Binary Classification NeurIPS 2020 On the Relation between Quality-Diversity Evaluation and Distribution-Fitting Goal in Text Generation ICML 2020 On the Sample Complexity of Learning Sum-Product Networks AISTATS 2020 On Uniform Convergence and Low-Norm Interpolation Learning NeurIPS 2020 On Validation and Planning of An Optimal Decision Rule with Application in Healthcare Studies ICML 2020 Open Problem: Information Complexity of VC Learning COLT 2020 Open Problem: Model Selection for Contextual Bandits COLT 2020 Optimal Bipartite Network Clustering JMLR 2020 Optimal Estimation of Sparse Topic Models JMLR 2020 Optimality, Accuracy, and Efficiency of an Exact Functional Test IJCAI 2020 Optimal Robust Learning of Discrete Distributions from Batches ICML 2020 Optimistic Bounds for Multi-output Learning ICML 2020