DSpace at KOASAS: Improved Regret Bounds of (Multinomial) Logistic Bandits via Regret-to-Confidence-Set Conversion

DSpace at KOASAS

College of Engineering(공과대학)Kim Jaechul Graduate School of AI(김재철AI대학원)AI-Conference Papers(학술대회논문)

Improved Regret Bounds of (Multinomial) Logistic Bandits via Regret-to-Confidence-Set Conversion

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Junghyun Lee / Yun, Seyoung researcher / Kwang-Sung Jun

Publisher: AISTATS

Issue Date: 2024-05-04

Citation: The 27th International Conference on Artificial Intelligence and Statistics

URI: http://hdl.handle.net/10203/320265

Appears in Collection: AI-Conference Papers(학술대회논문)

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Improved Regret Bounds of (Multinomial) Logistic Bandits via Regret-to-Confidence-Set Conversion

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