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Designing monitoring strategies for deployed machine learning
  algorithms: navigating performativity through a causal lens

Designing monitoring strategies for deployed machine learning algorithms: navigating performativity through a causal lens

20 November 2023
Jean Feng
Adarsh Subbaswamy
Alexej Gossmann
Harvineet Singh
B. Sahiner
Mi-Ok Kim
Gene Pennello
N. Petrick
Romain Pirracchio
Fan Xia
ArXivPDFHTML

Papers citing "Designing monitoring strategies for deployed machine learning algorithms: navigating performativity through a causal lens"

1 / 1 papers shown
Title
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
312
0
30 Oct 2017
1