Statistics

On the Estimation of Derivatives Using Plug-in Kernel Ridge Regression Estimators JMLR 2023 On the Variance, Admissibility, and Stability of Empirical Risk Minimization NeurIPS 2023 Opposite Online Learning via Sequentially Integrated Stochastic Gradient Descent Estimators AAAI 2023 PED-ANOVA: Efficiently Quantifying Hyperparameter Importance in Arbitrary Subspaces IJCAI 2023 Precise Asymptotic Analysis of Deep Random Feature Models COLT 2023 Precision/Recall on Imbalanced Test Data AISTATS 2023 Predicting Rare Events by Shrinking Towards Proportional Odds ICML 2023 Private Statistical Estimation of Many Quantiles ICML 2023 Probabilities of Potential Outcome Types in Experimental Studies: Identification and Estimation Based on Proxy Covariate Information AAAI 2023 Proper Scoring Rules for Survival Analysis ICML 2023 Ranger: A Toolkit for Effect-Size Based Multi-Task Evaluation ACL 2023 Regression with Label Permutation in Generalized Linear Model ICML 2023 Revisiting inference after prediction JMLR 2023 Robust Consensus in Ranking Data Analysis: Definitions, Properties and Computational Issues ICML 2023 Robust High-Dimensional Low-Rank Matrix Estimation: Optimal Rate and Data-Adaptive Tuning JMLR 2023 Robust Mean Estimation Without Moments for Symmetric Distributions NeurIPS 2023 Safe Sequential Testing and Effect Estimation in Stratified Count Data AISTATS 2023 SAMoSSA: Multivariate Singular Spectrum Analysis with Stochastic Autoregressive Noise NeurIPS 2023 Sampling random graph homomorphisms and applications to network data analysis JMLR 2023 Selection by Prediction with Conformal p-values JMLR 2023 Selective inference for k-means clustering JMLR 2023 Selective Nonparametric Regression via Testing ACML 2023 Semiparametric Inference Using Fractional Posteriors JMLR 2023 Sharp thresholds in inference of planted subgraphs COLT 2023 Spearman Rank Correlation Screening for Ultrahigh-Dimensional Censored Data AAAI 2023