From matrix inversion to constraints: provably tighter confidence regions for importance weights in label shift
From matrix inversion to constraints: provably tighter confidence regions for importance weights in
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Statistics > Machine Learning arXiv:2609.14802 (stat) [Submitted on 13 Sep 2026] Title: From matrix inversion to constraints: provably tighter confidence regions for importance weights in label shift Authors: Mushan Li , Kihyun Han , Yanyuan Ma View a PDF of the paper titled From matrix inversion to