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Adaptive Experimental Design with Temporal Interference: A Maximum Likelihood Approach

Adaptive Experimental Design with Temporal Interference: A Maximum Likelihood Approach

Peter Glynn
Ramesh Johari
M. Rasouli
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Papers citing "Adaptive Experimental Design with Temporal Interference: A Maximum Likelihood Approach"

6 / 6 papers shown
Title
Double Machine Learning for Causal Inference under Shared-State Interference
Double Machine Learning for Causal Inference under Shared-State Interference
Chris Hays
Manish Raghavan
CML
61
0
0
10 Apr 2025
Statistical Inference in Reinforcement Learning: A Selective Survey
Statistical Inference in Reinforcement Learning: A Selective Survey
Chengchun Shi
OffRL
74
1
0
22 Feb 2025
Tackling Interference Induced by Data Training Loops in A/B Tests: A Weighted Training Approach
Tackling Interference Induced by Data Training Loops in A/B Tests: A Weighted Training Approach
Nian Si
21
4
0
26 Oct 2023
Randomization Inference When N Equals One
Randomization Inference When N Equals One
Tengyuan Liang
Benjamin Recht
CML
40
5
0
25 Oct 2023
Correcting for Interference in Experiments: A Case Study at Douyin
Correcting for Interference in Experiments: A Case Study at Douyin
Vivek F. Farias
Hao Li
Tianyi Peng
Xinyuyang Ren
B. Hassibi
A. Zheng
41
9
0
04 May 2023
Hypothesis Testing in Sequentially Sampled Data: AdapRT to Maximize Power Beyond iid Sampling
Hypothesis Testing in Sequentially Sampled Data: AdapRT to Maximize Power Beyond iid Sampling
D. Ham
Jia Qiu
21
1
0
05 May 2022