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Balancing Covariates in Randomized Experiments with the Gram-Schmidt
  Walk Design

Balancing Covariates in Randomized Experiments with the Gram-Schmidt Walk Design

8 November 2019
Christopher Harshaw
Fredrik Sävje
D. Spielman
Peng Zhang
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Papers citing "Balancing Covariates in Randomized Experiments with the Gram-Schmidt Walk Design"

4 / 4 papers shown
Title
Low-Rank Thinning
Low-Rank Thinning
Annabelle Michael Carrell
Albert Gong
Abhishek Shetty
Raaz Dwivedi
Lester W. Mackey
58
0
0
17 Feb 2025
Central Limit Theorem for Gram-Schmidt Random Walk Design
Central Limit Theorem for Gram-Schmidt Random Walk Design
S. Chatterjee
P. Dey
Subhajit Goswami
26
2
0
21 May 2023
Synthetic Principal Component Design: Fast Covariate Balancing with
  Synthetic Controls
Synthetic Principal Component Design: Fast Covariate Balancing with Synthetic Controls
Yiping Lu
Jiajin Li
Lexing Ying
Jose H. Blanchet
19
2
0
28 Nov 2022
Design and Analysis of Bipartite Experiments under a Linear
  Exposure-Response Model
Design and Analysis of Bipartite Experiments under a Linear Exposure-Response Model
Christopher Harshaw
Fredrik Sävje
David Eisenstat
Vahab Mirrokni
Jean Pouget-Abadie
24
34
0
11 Mar 2021
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