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Is Importance Weighting Incompatible with Interpolating Classifiers?
Ke Alexander Wang
,
Niladri Shekhar Chatterji
,
Saminul Haque
,
Tatsunori Hashimoto
2022 (modified: 16 Apr 2023)
ICLR 2022
Readers:
Everyone
Abstract:
Importance weighting is a classic technique to handle distribution shifts. However, prior work has presented strong empirical and theoretical evidence demonstrating that importance weights can have...
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