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Qinglong Tian

2 accepted papers

2024

ReTaSA: A Nonparametric Functional Estimation Approach for Addressing Continuous Target Shift

ICLR 2024poster

The presence of distribution shifts poses a significant challenge for deploying modern machine learning models in real-world applications. This work focuses on the target shift problem in a regression setting (Zhang et al., 2013; Nguyen et al., 2016). More specifically, the target variable $y$ (als…

Cited by 1SourcePDFScholar
2023

ELSA: Efficient Label Shift Adaptation through the Lens of Semiparametric Models

ICML 2023poster

We study the domain adaptation problem with label shift in this work. Under the label shift context, the marginal distribution of the label varies across the training and testing datasets, while the conditional distribution of features given the label is the same. Traditional label shift adaptation…

Cited by 9SourcePDFScholar