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arXiv Machine Learning By Zahra Rahiminasab, Reza Soumi, Arto Klami, Samuel Kaski

Point-Identification of a Robust Predictor Under Latent Shift with Imperfect Proxies

Read the original on arXiv Machine Learning →

arXiv:2603. 15158v2 Announce Type: replace Abstract: Addressing the domain adaptation problem becomes more challenging when distribution shifts across domains stem from latent confounders that affect both covariates and outcomes.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv Machine Learning.

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