Statistics

Power Iteration for Tensor PCA JMLR 2022 Private and Communication-Efficient Algorithms for Entropy Estimation NeurIPS 2022 Private High-Dimensional Hypothesis Testing COLT 2022 Private Sequential Hypothesis Testing for Statisticians: Privacy, Error Rates, and Sample Size AISTATS 2022 Quantifying Statistical Significance of Neural Network-based Image Segmentation by Selective Inference NeurIPS 2022 Re-Examining System-Level Correlations of Automatic Summarization Evaluation Metrics NAACL 2022 Refined Convergence Rates for Maximum Likelihood Estimation under Finite Mixture Models ICML 2022 Robust Generalized Method of Moments: A Finite Sample Viewpoint NeurIPS 2022 Robust Kernel Density Estimation with Median-of-Means principle ICML 2022 Robust Sparse Mean Estimation via Sum of Squares COLT 2022 Robust Streaming PCA NeurIPS 2022 Robust Testing in High-Dimensional Sparse Models NeurIPS 2022 Scalable and Efficient Hypothesis Testing with Random Forests JMLR 2022 Searching for a Higher Power in the Human Evaluation of MT EMNLP 2022 Sharp Constants in Uniformity Testing via the Huber Statistic COLT 2022 Sparse Hypergraph Community Detection Thresholds in Stochastic Block Model NeurIPS 2022 Split-kl and PAC-Bayes-split-kl Inequalities for Ternary Random Variables NeurIPS 2022 Staggered Rollout Designs Enable Causal Inference Under Interference Without Network Knowledge NeurIPS 2022 Statistical inference with implicit SGD: proximal Robbins-Monro vs. Polyak-Ruppert ICML 2022 Supervised Learning with General Risk Functionals ICML 2022 Testing Whether a Learning Procedure is Calibrated JMLR 2022 The Fewer Splits are Better: Deconstructing Readability in Sentence Splitting EMNLP 2022 The Role of Interactivity in Structured Estimation COLT 2022 Three rates of convergence or separation via U-statistics in a dependent framework JMLR 2022 Weak Separation in Mixture Models and Implications for Principal Stratification AISTATS 2022