Correcting for Interference in Experiments: A Case Study at Douyin

Correcting for Interference in Experiments: A Case Study at Douyin

4 May 2023

Vivek F. Farias

Papers citing "Correcting for Interference in Experiments: A Case Study at Douyin"

6 / 6 papers shown

Title
Double Machine Learning for Causal Inference under Shared-State Interference Chris Hays Manish Raghavan CML 56 0 0 10 Apr 2025
Differences-in-Neighbors for Network Interference in Experiments Tianyi Peng Naimeng Ye A. Zheng 46 0 0 04 Mar 2025
Higher-Order Causal Message Passing for Experimentation with Complex Interference Mohsen Bayati Yuwei Luo William Overman Sadegh Shirani Ruoxuan Xiong 32 0 0 01 Nov 2024
Estimating Treatment Effects under Recommender Interference: A Structured Neural Networks Approach Ruohan Zhan Shichao Han Yuchen Hu Zhenling Jiang BDL CML 24 2 0 20 Jun 2024
Tackling Interference Induced by Data Training Loops in A/B Tests: A Weighted Training Approach Nian Si 19 4 0 26 Oct 2023
Double Reinforcement Learning for Efficient Off-Policy Evaluation in Markov Decision Processes Nathan Kallus Masatoshi Uehara OffRL 38 181 0 22 Aug 2019