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Ye Su
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Ye Su13 visible / 13 total nodes / 47 links

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Co-authorshipCo-authorshipCo-authorshipCo-authorshipCo-authorshipCo-authorshipCo-authorshipCo-authorshipCo-authorshipCo-authorshipCo-authorshipCo-authorshipCo-authorshipCo-authorshipCo-authorshipCo-authorshipCo-authorshipCo-authorshipCo-authorshipCo-authorshipCo-authorshipCo-authorshipCo-authorshipCo-authorshipWorks onWorks onAuthorshipAuthorshipAuthorshipWorks onWorks onWorks onWorks onWorks onWorks onWorks onAuthorshipAuthorshipAuthorshipAuthorshipAuthorshipTopic signalTopic signalTopic signalAuthorshipAuthorshipAuthorshipYe SuAYe SuResearcherITBoost: Information-Theoretic Trust for Robust BoostingWITBoost: Information-Th...preprint / 2026When Does $\ell_2$-Boosting Overfit Benignly? High-Dimensional Risk Asymptotics and the $\ell_1$ Implicit BiasWWhen Does $\ell_2$-Boos...preprint / 2026Jipeng GuoAJipeng GuoResearcherJian LiAJian LiResearcherYong LiuAYong LiuResearcherLonglong ZhaoALonglong ZhaoResearcherDiego Garcia-GilADiego Garcia-GilResearcherGangchun ZhangAGangchun ZhangResearcherJinxin ChenAJinxin ChenResearcherJinsong ChenAJinsong ChenResearcherMachine LearningTMachine Learning49008 worksVariational Inference, Entropy, and Orthogonality: A Unified Theory of Mixture-of-ExpertsWVariational Inference, ...preprint / 2026
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Ye Su

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PaperITBoost: Information-Theoretic Trust for Robust BoostingAuthorship / preprint / 2026PaperWhen Does ℓ2\ell_2-Boosting Overfit Benignly? High-Dimensional Risk Asymptotics and the ℓ1\ell_1 Implicit BiasAuthorship / preprint / 2026PersonJipeng GuoCo-authorship / ResearcherPersonJian LiCo-authorship / ResearcherPersonYong LiuCo-authorship / ResearcherPersonLonglong ZhaoCo-authorship / ResearcherPersonDiego Garcia-GilCo-authorship / ResearcherPersonGangchun ZhangCo-authorship / Researcher

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