From: NeurIPS.cc/2022/Workshop/DistShift/Program_Chairs
title: Paper Decision
decision: Accept (Spotlight)
comment: The paper analyzes the scenario in which interactions with a trained model are recorded as history and used as training data, and shows theoretically how it can amplify bias. The scenario itself is quite relevant from an industry perspective, although it is certainly possible to quibble with some details of the theoretical formulation. The paper then proposes an intervention to limit instability. Overall I found the paper to be thought-provoking and original, and recommend acceptance.