Presentation 2022-12-22
On Stochastic and Adversarial Optimality of Follow-The-Perturbated-Leader Policy
Junya Honda, Shinji Ito, Taira Tsuchiya,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English)
Keyword(in Japanese) (See Japanese page)
Keyword(in English)
Paper # IBISML2022-48
Date of Issue 2022-12-15 (IBISML)

Conference Information
Committee IBISML
Conference Date 2022/12/22(2days)
Place (in Japanese) (See Japanese page)
Place (in English) Kyoto University
Topics (in Japanese) (See Japanese page)
Topics (in English) Machine Learning, etc.
Chair Masashi Sugiyama(Univ. of Tokyo)
Vice Chair Toshihiro Kamishima(AIST) / Koji Tsuda(Univ. of Tokyo)
Secretary Toshihiro Kamishima(NTT) / Koji Tsuda(Hokkaido Univ.)
Assistant Yoshinobu Kawahara(Osaka Univ.) / Taiji Suzuki(Tokyo Inst. of Tech.)

Paper Information
Registration To Technical Committee on Infomation-Based Induction Sciences and Machine Learning
Language ENG-JTITLE
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) On Stochastic and Adversarial Optimality of Follow-The-Perturbated-Leader Policy
Sub Title (in English)
Keyword(1)
1st Author's Name Junya Honda
1st Author's Affiliation Kyoto University/RIKEN(Kyoto Univ./RIKEN)
2nd Author's Name Shinji Ito
2nd Author's Affiliation NEC Corporation(NEC)
3rd Author's Name Taira Tsuchiya
3rd Author's Affiliation Kyoto University/RIKEN(Kyoto Univ./RIKEN)
Date 2022-12-22
Paper # IBISML2022-48
Volume (vol) vol.122
Number (no) IBISML-325
Page pp.pp.30-37(IBISML),
#Pages 8
Date of Issue 2022-12-15 (IBISML)