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asymptotic normality

66 papers

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confidence interval (146) statistical inference (146) causal inference (1630) statistical estimation (108) parameter estimation (274) maximum likelihood (255) maximum likelihood estimation (233) uncertainty quantification (1393) bayesian inference (1907) statistical learning (351)

Papers

Scalable and Efficient Hypothesis Testing with Random Forests JMLR 2022
Asymptotic Analysis of Sampling Estimators for Randomized Numerical Linear Algebra Algorithms JMLR 2022
One-bit Submission for Locally Private Quasi-MLE: Its Asymptotic Normality and Limitation AISTATS 2022
Debiased Machine Learning without Sample-Splitting for Stable Estimators NIPS 2022
Finite-Sample Maximum Likelihood Estimation of Location NIPS 2022
Maximum sampled conditional likelihood for informative subsampling JMLR 2022
Least Squares Estimation using Sketched Data with Heteroskedastic Errors ICML 2022
Identification and Estimation of Joint Probabilities of Potential Outcomes in Observational Studies with Covariate Information NIPS 2021
Inference In High-dimensional Single-Index Models Under Symmetric Designs JMLR 2021
Estimation and Inference for High Dimensional Generalized Linear Models: A Splitting and Smoothing Approach JMLR 2021
Asymptotic Normality, Concentration, and Coverage of Generalized Posteriors JMLR 2021
V-statistics and Variance Estimation JMLR 2021
Asymptotic Normality and Confidence Intervals for Prediction Risk of the Min-Norm Least Squares Estimator ICML 2021
Optimal Estimation of High Dimensional Smooth Additive Function Based on Noisy Observations ICML 2021
Efficient Truncated Linear Regression with Unknown Noise Variance NIPS 2021
An Analysis of Constant Step Size SGD in the Non-convex Regime: Asymptotic Normality and Bias NIPS 2021
Regression Discontinuity Design under Self-selection AISTATS 2021
One-Round Communication Efficient Distributed M-Estimation AISTATS 2021
A Computationally Efficient Method for Learning Exponential Family Distributions NIPS 2021
Post-Contextual-Bandit Inference NIPS 2021
The Adaptive Doubly Robust Estimator and a Paradox Concerning Logging Policy NIPS 2021
Estimation and Inference with Trees and Forests in High Dimensions COLT 2020
On the Ergodicity, Bias and Asymptotic Normality of Randomized Midpoint Sampling Method NIPS 2020
Inference for Batched Bandits NIPS 2020
Asymptotic normality and confidence intervals for derivatives of 2-layers neural network in the random features model NIPS 2020