Author

Weixin Wang

2 papers indexed here

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#machine learning Preprint Oct 2026

Decoupled Marginal Sharpening for Training-Free Inference-Time Scaling

Decoupled Marginal Sharpening (DMS) is proposed, which separately controls how strongly the model favors particular reasoning paths and how strongly it favors final answers after aggregating support across those paths.

Wei-Xin Wang, Wei Deng, Anderson Schneider et al. · 0 citations

#artificial intelligence Oct 2025

Provable Anytime Ensemble Sampling Algorithms in Nonlinear Contextual Bandits

The results establish ensemble sampling as a provable and practical randomized exploration approach for nonlinear contextual bandits as well as introducing techniques that address challenges specific to nonlinear models.

Jia-Zheng Sun, Weixin Wang, Pan Xu · arXiv.org · 2 citations · ⚡1