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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

26 October 2023
Nian Si
ArXivPDFHTML

Papers citing "Tackling Interference Induced by Data Training Loops in A/B Tests: A Weighted Training Approach"

3 / 3 papers shown
Title
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
28
9
0
04 May 2023
Breaking Feedback Loops in Recommender Systems with Causal Inference
Breaking Feedback Loops in Recommender Systems with Causal Inference
K. Krauth
Yixin Wang
Michael I. Jordan
CML
49
19
0
04 Jul 2022
How Algorithmic Confounding in Recommendation Systems Increases
  Homogeneity and Decreases Utility
How Algorithmic Confounding in Recommendation Systems Increases Homogeneity and Decreases Utility
A. Chaney
Brandon M Stewart
Barbara E. Engelhardt
CML
169
313
0
30 Oct 2017
1