High-dimensional regression adjustments in randomized experiments

22 July 2016

Papers citing "High-dimensional regression adjustments in randomized experiments"

7 / 7 papers shown

Title
STATE: A Robust ATE Estimator of Heavy-Tailed Metrics for Variance Reduction in Online Controlled Experiments Hao Zhou Kun Sun Shaoming Li Yangfeng Fan Guibin Jiang Jiaqi Zheng Tao Li 16 0 0 23 Jul 2024
A decorrelation method for general regression adjustment in randomized experiments Fangzhou Su Wenlong Mou Peng Ding Martin J. Wainwright 19 1 0 16 Nov 2023
Optimality of Matched-Pair Designs in Randomized Controlled Trials Yuehao Bai 21 52 0 15 Jun 2022
Rerandomization with Diminishing Covariate Imbalance and Diverging Number of Covariates Yuhao Wang Xinran Li 27 14 0 06 Sep 2021
Machine Learning for Variance Reduction in Online Experiments Yongyi Guo Dominic Coey Mikael Konutgan Wenting Li Ch. P. Schoener Matt Goldman 14 34 0 14 Jun 2021
Regression adjustment in completely randomized experiments with a diverging number of covariates Lihua Lei Peng Ding 24 48 0 20 Jun 2018
Approximate Residual Balancing: De-Biased Inference of Average Treatment Effects in High Dimensions Susan Athey Guido Imbens Stefan Wager CML 35 388 0 25 Apr 2016