Presentation 2020-10-20
[招待講演]ロバストな推定を導くダイバージェンス
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) We introduce density power divergence, gamma-divergence and H"{o}lder divergence, which enable us to make robust estimators. In particular, we discuss the super-robustness with relation to such divergences.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) divergence / super-robustness / robust estimation
Paper # IBISML2020-13
Date of Issue 2020-10-13 (IBISML)

Conference Information
Committee IBISML
Conference Date 2020/10/20(3days)
Place (in Japanese) (See Japanese page)
Place (in English) Online
Topics (in Japanese) (See Japanese page)
Topics (in English) Organized Sessions on Frontiers of Machine Learning and General Sessions
Chair Ichiro Takeuchi(Nagoya Inst. of Tech.)
Vice Chair Masashi Sugiyama(Univ. of Tokyo) / Koji Tsuda(Univ. of Tokyo)
Secretary Masashi Sugiyama(AIST) / Koji Tsuda(NTT)
Assistant Atsuyoshi Nakamura(Hokkaido Univ.) / Shigeyuki Oba(Kyoto Univ.)

Paper Information
Registration To Technical Committee on Infomation-Based Induction Sciences and Machine Learning
Language JPN-ONLY
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English)
Sub Title (in English)
Keyword(1) divergence
Keyword(2) super-robustness
Keyword(3) robust estimation
1st Author's Name
1st Author's Affiliation *(*)
Date 2020-10-20
Paper # IBISML2020-13
Volume (vol) vol.120
Number (no) IBISML-195
Page pp.pp.29-29(IBISML),
#Pages 1
Date of Issue 2020-10-13 (IBISML)