Tom Bewley
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126
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2026
Entropic Projection Alignment: Estimating, Explaining, and Improving Model Performance Under Distribution Shift
The paper introduces Entropic Projection Alignment (EPA), a unified framework that estimates, explains, and improves model performance under distribution shift by aligning source and target distributions using moment matching and KL divergence minimization.
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stat.MLcs.AIcs.LGRecentMay 29, 2026
Entropic Projection Alignment: Estimating, Explaining, and Improving Model Performance Under Distribution Shift
Salim I. Amoukou, Emanuele Albini, Tom Bewley, Saumitra Mishra +1 more
The paper introduces Entropic Projection Alignment (EPA), a unified framework that estimates, explains, and improves model performance under distribution shift by aligning source and target distributi…
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