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Author

Changhu Wang

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Jul 2026

Von Mises-Fisher Mixture Model with Dynamic Shrinkage for Realistic Test-Time Transduction

This work systematically revisit transduction from the perspective of penalized likelihood estimation (PLE), showing that PLE with a KL-divergence anchor term naturally yields an adaptive shrinkage behavior between prior anchors and empirical estimates.

Jiazhen Huang, Zhiming Liu, Changhu Wang et al. · 2 citations

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