Presentation | 2015-06-23 Differential Privacy and Pseudo-Bayesian Posterior Kentaro Minami, Hiromi Arai, Issei Sato, Hiroshi Nakagawa, |
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PDF Download Page | PDF download Page Link |
Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | We investigate relationship between differential privacy and pseudo-Bayesian posterior distributions. Recently, Wang, et al. proved that a parameter drawn from Bayesian posterior distribution automatically satisfies differential privacy. In this paper, we show that samples from pseudo-Bayesian posterior distributions satisfy $(varepsilon, delta)$-differential privacy. Our result can be applied to various problems in which loss functions are possibly unbounded. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | differential privacy / pseudo-Bayesian posterior / concentration of measure / PAC-Bayesian learning |
Paper # | IBISML2015-7 |
Date of Issue | 2015-06-16 (IBISML) |
Conference Information | |
Committee | NC / IPSJ-BIO / IBISML / IPSJ-MPS |
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Conference Date | 2015/6/23(3days) |
Place (in Japanese) | (See Japanese page) |
Place (in English) | Okinawa Institute of Science and Technology |
Topics (in Japanese) | (See Japanese page) |
Topics (in English) | Machine Learning Approach to Biodata Mining, and General |
Chair | Toshimichi Saito(Hosei Univ.) / Masakazu Sekijima(東工大) / Takashi Washio(Osaka Univ.) / Hayaru Shouno(電通大) |
Vice Chair | Shigeo Sato(Tohoku Univ.) / / Kenji Fukumizu(ISM) / Masashi Sugiyama(Tokyo Inst. of Tech.) |
Secretary | Shigeo Sato(Kyushu Inst. of Tech.) / (Kyoto Sangyo Univ.) / Kenji Fukumizu(京大) / Masashi Sugiyama(お茶の水女子大) / (OIST) |
Assistant | Hiroyuki Kanbara(Tokyo Inst. of Tech.) / Hisanao Akima(Tohoku Univ.) / / Koji Tsuda(Univ. of Tokyo) / Hisashi Kashima(Kyoto Univ.) |
Paper Information | |
Registration To | Technical Committee on Neurocomputing / Special Interest Group on Bioinformatics and Genomics / Technical Committee on Infomation-Based Induction Sciences and Machine Learning / Special Interest Group on Mathematical Modeling and Problem Solving |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Differential Privacy and Pseudo-Bayesian Posterior |
Sub Title (in English) | |
Keyword(1) | differential privacy |
Keyword(2) | pseudo-Bayesian posterior |
Keyword(3) | concentration of measure |
Keyword(4) | PAC-Bayesian learning |
1st Author's Name | Kentaro Minami |
1st Author's Affiliation | The University of Tokyo(The University of Tokyo) |
2nd Author's Name | Hiromi Arai |
2nd Author's Affiliation | The University of Tokyo(The University of Tokyo) |
3rd Author's Name | Issei Sato |
3rd Author's Affiliation | The University of Tokyo(The University of Tokyo) |
4th Author's Name | Hiroshi Nakagawa |
4th Author's Affiliation | The University of Tokyo(The University of Tokyo) |
Date | 2015-06-23 |
Paper # | IBISML2015-7 |
Volume (vol) | vol.115 |
Number (no) | IBISML-112 |
Page | pp.pp.39-46(IBISML), |
#Pages | 8 |
Date of Issue | 2015-06-16 (IBISML) |