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Sihan Zeng
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Sihan Zeng9 visible / 9 total nodes / 18 links

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Co-authorshipCo-authorshipCo-authorshipWorks onAuthorshipAuthorshipAuthorshipAuthorshipWorks onWorks onAuthorshipAuthorshipAuthorshipTopic signalTopic signalTopic signalTopic signalTopic signalSihan ZengASihan ZengResearcherRethinking Neural Network Learning Rates: A Stackelberg PerspectiveWRethinking Neural Netwo...preprint / 2026Sujay BhattASujay BhattResearcherSumitra GaneshASumitra GaneshResearcherA Reinforcement Learning Approach to Parameter Selection for Distributed Optimal Power FlowWA Reinforcement Learnin...preprint / 2022Finite-Time Convergence Rates of Decentralized Stochastic Approximation with Applications in Multi-Agent and Multi-Task LearningWFinite-Time Convergence...preprint / 2022Fast Two-Time-Scale Stochastic Gradient Method with Applications in Reinforcement LearningWFast Two-Time-Scale Sto...preprint / 2026Machine LearningTMachine Learning49008 worksFast Compressive Sensing Recovery Using Generative Models with Structured Latent VariablesWFast Compressive Sensin...preprint / 2020
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Sihan Zeng

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PaperRethinking Neural Network Learning Rates: A Stackelberg PerspectiveAuthorship / preprint / 2026PersonSujay BhattCo-authorship / ResearcherPersonSumitra GaneshCo-authorship / ResearcherPaperA Reinforcement Learning Approach to Parameter Selection for Distributed Optimal Power FlowAuthorship / preprint / 2022PaperFinite-Time Convergence Rates of Decentralized Stochastic Approximation with Applications in Multi-Agent and Multi-Task LearningAuthorship / preprint / 2022PaperFast Two-Time-Scale Stochastic Gradient Method with Applications in Reinforcement LearningAuthorship / preprint / 2026TopicMachine LearningWorks on / 49008 worksPaperFast Compressive Sensing Recovery Using Generative Models with Structured Latent VariablesAuthorship / preprint / 2020

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