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- W195528042 abstract "A statistical predictor that is deployed in a live production system may perturb the features it uses to make predictions. Such a feedback loop can occur, for example, when a model that predicts a certain type of behavior ends up causing the behavior it predicts, thus creating a self-fulfilling prophecy. This paper analyzes statistical feedback detection as a causal inference problem, and proposes a local randomization scheme that can be used to detect feedback in real-world problems. We apply our method to a predictive model currently in use at an internet company." @default.
- W195528042 created "2016-06-24" @default.
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- W195528042 date "2013-10-10" @default.
- W195528042 modified "2023-09-27" @default.
- W195528042 title "Feedback Detection for Live Statistical Predictors." @default.
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