Statistics

Optimal Prediction of the Number of Unseen Species with Multiplicity NeurIPS 2020 Optimal Statistical Hypothesis Testing for Social Choice UAI 2020 Overview of NLPTEA-2020 Shared Task for Chinese Grammatical Error Diagnosis AACL 2020 Private Identity Testing for High-Dimensional Distributions NeurIPS 2020 Profile Entropy: A Fundamental Measure for the Learnability and Compressibility of Distributions NeurIPS 2020 Randomized tests for high-dimensional regression: A more efficient and powerful solution NeurIPS 2020 Reducibility and Statistical-Computational Gaps from Secret Leakage COLT 2020 Ridge Regression: Structure, Cross-Validation, and Sketching ICLR 2020 Robust and Heavy-Tailed Mean Estimation Made Simple, via Regret Minimization NeurIPS 2020 Robust Gaussian Covariance Estimation in Nearly-Matrix Multiplication Time NeurIPS 2020 Robust Gradient-Based Markov Subsampling AAAI 2020 Robustness of Community Detection to Random Geometric Perturbations NeurIPS 2020 Sharpened Generalization Bounds based on Conditional Mutual Information and an Application to Noisy, Iterative Algorithms NeurIPS 2020 Sharper Bounds for Uniformly Stable Algorithms COLT 2020 Sharp uniform convergence bounds through empirical centralization NeurIPS 2020 Tangled up in BLEU: Reevaluating the Evaluation of Automatic Machine Translation Evaluation Metrics ACL 2020 Testing Goodness of Fit of Conditional Density Models with Kernels UAI 2020 The All-or-Nothing Phenomenon in Sparse Tensor PCA NeurIPS 2020 Theoretical Insights Into Multiclass Classification: A High-dimensional Asymptotic View NeurIPS 2020 Unbalanced Sobolev Descent NeurIPS 2020 Understanding the Curse of Horizon in Off-Policy Evaluation via Conditional Importance Sampling ICML 2020 Worst-Case Analysis for Randomly Collected Data NeurIPS 2020 Affine Invariant Covariance Estimation for Heavy-Tailed Distributions COLT 2019 A maximum-mean-discrepancy goodness-of-fit test for censored data AISTATS 2019 A Powerful Global Test Statistic for Functional Statistical Inference AAAI 2019