publications

2025

1. Stabilizing Sharpness-aware Minimization Through A Simple Renormalization Strategy

   Chengli Tan , Jiangshe Zhang , Junmin Liu , Yicheng Wang , and Yunda Hao

   Journal of Machine Learning Research, 2025

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2. Optimal E-Values for Exponential Families: the Simple Case

   Peter Grünwald , Tyron Lardy , Yunda Hao, Shaul K Bar-Lev , and Martijn Jong

   accepted to Information Theory, Probability and Statistical Learning: A Festschrift in Honor of Andrew Barron (invited paper), 2025

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3. Towards Understanding The Calibration Benefits of Sharpness-Aware Minimization

   Chengli Tan , Yubo Zhou , Haishan Ye , Guang Dai , Junmin Liu , and 5 more authors

   arXiv preprint arXiv:2505.23866, 2025

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2024

1. E-values for k-Sample Tests with Exponential Families

   Yunda Hao, Peter Grünwald , Tyron Lardy , Long Long , and Reuben Adams

   Sankhya A, 2024

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2. E-Values for Exponential Families: the General Case

   Yunda Hao, and Peter Grünwald

   arXiv preprint arXiv:2409.11134, 2024

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3. Growth-Optimal E-Variables and an extension to the multivariate Csiszár-Sanov-Chernoff Theorem

   Peter Grünwald , Yunda Hao, and Akshay Balsubramani

   arXiv preprint arXiv:2412.17554, 2024

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2019

1. Drug repositioning via matrix completion with multi-view side information

   Yunda Hao, Menglan Cai , and Limin Li

   IET Systems Biology, 2019

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