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Kaixuan Ji
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Kaixuan Ji13 visible / 13 total nodes / 54 links

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Related contextRelated contextRelated contextRelated contextRelated contextRelated contextCo-authorshipCo-authorshipCo-authorshipCo-authorshipCo-authorshipCo-authorshipCo-authorshipCo-authorshipCo-authorshipCo-authorshipWorks onWorks onWorks onWorks onWorks onWorks onWorks onWorks onWorks onWorks onWorks onWorks onAuthorshipWorks onWorks onWorks onWorks onWorks onAuthorshipWorks onWorks onAuthorshipAuthorshipAuthorshipAuthorshipAuthorshipAuthorshipAuthorshipAuthorshipTopic signalTopic signalTopic signalTopic signalTopic signalTopic signalTopic signalTopic signalAuthorshipKaixuan JiAKaixuan JiResearcherOn the Optimal Sample Complexity of Offline Multi-Armed Bandits with KL RegularizationWOn the Optimal Sample C...preprint / 2026Fast Rates for Offline Contextual Bandits with Forward-KL Regularization under Single-Policy ConcentrabilityWFast Rates for Offline ...preprint / 2026Qingyue ZhaoAQingyue ZhaoResearcherHeyang ZhaoAHeyang ZhaoResearcherQuanquan GuAQuanquan GuResearcherQiwei DiAQiwei DiResearcherMachine LearningTMachine Learning49008 worksArtificial IntelligenceTArtificial Intelligence22915 worksmath.STTmath.ST3384 worksInformation TheoryTInformation Theory6710 worksP-Tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Universally Across Scales and TasksWP-Tuning v2: Prompt Tun...preprint / 2022Parameter-Efficient Prompt Tuning Makes Generalized and Calibrated Neural Text RetrieversWParameter-Efficient Pro...preprint / 2022
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Kaixuan Ji

Researcher

PaperOn the Optimal Sample Complexity of Offline Multi-Armed Bandits with KL RegularizationAuthorship / preprint / 2026PaperFast Rates for Offline Contextual Bandits with Forward-KL Regularization under Single-Policy ConcentrabilityAuthorship / preprint / 2026PersonQingyue ZhaoCo-authorship / ResearcherPersonHeyang ZhaoCo-authorship / ResearcherPersonQuanquan GuCo-authorship / ResearcherPersonQiwei DiCo-authorship / ResearcherTopicMachine LearningWorks on / 49008 worksTopicArtificial IntelligenceWorks on / 22915 works

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