asymptotic normality

Efficient Truncated Linear Regression with Unknown Noise Variance NeurIPS 2021 Estimation and Inference for High Dimensional Generalized Linear Models: A Splitting and Smoothing Approach JMLR 2021 Identification and Estimation of Joint Probabilities of Potential Outcomes in Observational Studies with Covariate Information NeurIPS 2021 Inference In High-dimensional Single-Index Models Under Symmetric Designs JMLR 2021 One-Round Communication Efficient Distributed M-Estimation AISTATS 2021 Optimal Estimation of High Dimensional Smooth Additive Function Based on Noisy Observations ICML 2021 Post-Contextual-Bandit Inference NeurIPS 2021 Regression Discontinuity Design under Self-selection AISTATS 2021 The Adaptive Doubly Robust Estimator and a Paradox Concerning Logging Policy NeurIPS 2021 V-statistics and Variance Estimation JMLR 2021 Asymptotic normality and confidence intervals for derivatives of 2-layers neural network in the random features model NeurIPS 2020 Estimation and Inference with Trees and Forests in High Dimensions COLT 2020 Inference for Batched Bandits NeurIPS 2020 On the Ergodicity, Bias and Asymptotic Normality of Randomized Midpoint Sampling Method NeurIPS 2020 Distributed Inference for Linear Support Vector Machine JMLR 2019 Minimum Stein Discrepancy Estimators NeurIPS 2019 Orthogonal Random Forest for Causal Inference ICML 2019 Robust Estimation of Derivatives Using Locally Weighted Least Absolute Deviation Regression JMLR 2019 Variational Bayes under Model Misspecification NeurIPS 2019 Composite Marginal Likelihood Methods for Random Utility Models ICML 2018 Inference for High-dimensional Exponential Family Graphical Models AISTATS 2016 Maximum Likelihood for Variance Estimation in High-Dimensional Linear Models AISTATS 2016 Statistical Inference for Pairwise Graphical Models Using Score Matching NeurIPS 2016 Empirical Localization of Homogeneous Divergences on Discrete Sample Spaces NeurIPS 2015 High Dimensional EM Algorithm: Statistical Optimization and Asymptotic Normality NeurIPS 2015