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Causal Inference out of Control: Estimating the Steerability of
  Consumption

Causal Inference out of Control: Estimating the Steerability of Consumption

10 February 2023
Gary Cheng
Moritz Hardt
Celestine Mendler-Dünner
    CML
ArXivPDFHTML

Papers citing "Causal Inference out of Control: Estimating the Steerability of Consumption"

4 / 4 papers shown
Title
Operationalizing Machine Learning: An Interview Study
Operationalizing Machine Learning: An Interview Study
Shreya Shankar
Rolando Garcia
J. M. Hellerstein
Aditya G. Parameswaran
46
47
0
16 Sep 2022
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
35
19
0
04 Jul 2022
Preference Dynamics Under Personalized Recommendations
Preference Dynamics Under Personalized Recommendations
Sarah Dean
Jamie Morgenstern
53
34
0
25 May 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
161
281
0
30 Oct 2017
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