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- W2952551388 abstract "A 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. In this paper we analyze predictor feedback detection as a causal inference problem, and introduce a local randomization scheme that can be used to detect non-linear feedback in real-world problems. We conduct a pilot study for our proposed methodology using a predictive system currently deployed as a part of a search engine." @default.
- W2952551388 created "2019-06-27" @default.
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- W2952551388 date "2013-10-10" @default.
- W2952551388 modified "2023-09-27" @default.
- W2952551388 title "Feedback Detection for Live Predictors" @default.
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