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2025 ICML ICML 2025

Heterogeneous Label Shift: Theory and Algorithm

Abstract

No abstract available. No abstract was captured for this paper when its proceedings were scraped - most often an older edition published without one online. How the corpus is built.

Authors

Chao Xu, Xijia Tang, Chenping Hou

Topics

Artificial Intelligence > Core AI > Multimodal Learning Machine Learning > Optimization & Theory > Learning Theory Machine Learning > Application Areas > Domain Adaptation

Keywords

cross-modal classification label distribution shift bound minimization framework error decomposition theorem feature space heterogeneity heterogeneous label shift
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