Statistics

Finite-Sample Symmetric Mean Estimation with Fisher Information Rate COLT 2023 Gaussian Processes with Errors in Variables: Theory and Computation JMLR 2023 Generalized PTR: User-Friendly Recipes for Data-Adaptive Algorithms with Differential Privacy AISTATS 2023 Huber-robust confidence sequences AISTATS 2023 Identification and Estimation of the Probabilities of Potential Outcome Types Using Covariate Information in Studies with Non-compliance AAAI 2023 Inference on the Change Point under a High Dimensional Covariance Shift JMLR 2023 Instrumental Variable Estimation of Average Partial Causal Effects ICML 2023 Intrinsic Sliced Wasserstein Distances for Comparing Collections of Probability Distributions on Manifolds and Graphs ICML 2023 Learning Exponential Families from Truncated Samples NeurIPS 2023 Least Squares Model Averaging for Distributed Data JMLR 2023 Local Glivenko-Cantelli COLT 2023 MOS vs. AB: Evaluating Text-to-Speech Systems Reliably Using Clustered Standard Errors Interspeech 2023 Naive imputation implicitly regularizes high-dimensional linear models ICML 2023 Nonparametric Extensions of Randomized Response for Private Confidence Sets ICML 2023 On Distance and Kernel Measures of Conditional Dependence JMLR 2023 On Excess Mass Behavior in Gaussian Mixture Models with Orlicz-Wasserstein Distances ICML 2023 Open problem: log(n) factor in "Local Glivenko-Cantelli" COLT 2023 Recursive Quantile Estimation: Non-Asymptotic Confidence Bounds JMLR 2023 Revisiting minimum description length complexity in overparameterized models JMLR 2023 Robust High-Dimensional Low-Rank Matrix Estimation: Optimal Rate and Data-Adaptive Tuning JMLR 2023 Safe Sequential Testing and Effect Estimation in Stratified Count Data AISTATS 2023 Sequential Changepoint Detection via Backward Confidence Sequences ICML 2023 Statistical Inference for Fisher Market Equilibrium ICLR 2023 Statistical Robustness of Empirical Risks in Machine Learning JMLR 2023 Subset-Based Instance Optimality in Private Estimation ICML 2023