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cs.LG2024
How Does Distribution Matching Help Domain Generalization: An Information-theoretic Analysis
Yuxin Dong, Tieliang Gong, Hong Chen +3
Domain generalization aims to learn invariance across multiple training domains, thereby enhancing generalization against out-of-distribution data. While gradient or representation…
cs.LG2022
Robust and Fast Measure of Information via Low-rank Representation
Yuxin Dong, Tieliang Gong, Shujian Yu +2
The matrix-based Rényi's entropy allows us to directly quantify information measures from given data, without explicit estimation of the underlying probability distribution. This i…