When is Importance Weighting Correction Needed for Covariate Shift Adaptation?

7 March 2023

Papers citing "When is Importance Weighting Correction Needed for Covariate Shift Adaptation?"

7 / 7 papers shown

Title
Understanding Why Generalized Reweighting Does Not Improve Over ERM Runtian Zhai Chen Dan Zico Kolter Pradeep Ravikumar OOD 56 27 0 28 Jan 2022
Is Importance Weighting Incompatible with Interpolating Classifiers? Ke Alexander Wang Niladri S. Chatterji Saminul Haque Tatsunori Hashimoto 38 20 0 24 Dec 2021
The Many Faces of Robustness: A Critical Analysis of Out-of-Distribution Generalization Dan Hendrycks Steven Basart Norman Mu Saurav Kadavath Frank Wang ... Samyak Parajuli Mike Guo D. Song Jacob Steinhardt Justin Gilmer OOD 328 1,734 0 29 Jun 2020
Rethinking Importance Weighting for Deep Learning under Distribution Shift Tongtong Fang Nan Lu Gang Niu Masashi Sugiyama 52 139 0 08 Jun 2020
What is the Effect of Importance Weighting in Deep Learning? Jonathon Byrd Zachary Chase Lipton 87 463 0 08 Dec 2018
Marginal Singularity, and the Benefits of Labels in Covariate-Shift Samory Kpotufe Guillaume Martinet 136 95 0 05 Mar 2018
Minimax-optimal rates for sparse additive models over kernel classes via convex programming Garvesh Raskutti Martin J. Wainwright Bin Yu 151 287 0 21 Aug 2010