| Presentation | 2017-03-07 A stochastic optimization method and generalization bounds for voting classifiers by continuous density functions Atsushi Nitanda, Taiji Suzuki, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | We consider a learning method for the majority vote classifier by probability measure on continuously parametrized space of base classifiers. We give generalization bounds on such classifiers by extending well known results for the convex combination. In order to solve the empirical risk minimization problem for this model, we propose a stochastic optimization method performs in a probability space and we give its convergence analysis. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | majority vote classifier / nonlinear classification / margin theory / stochastic particle gradient descent |
| Paper # | IBISML2016-108 |
| Date of Issue | 2017-02-27 (IBISML) |
| Conference Information | |
| Committee | IBISML |
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| Conference Date | 2017/3/6(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Tokyo Institute of Technology |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Statistical Mathematics, Machine Learning, Data Mining, etc. |
| Chair | Kenji Fukumizu(ISM) |
| Vice Chair | Masashi Sugiyama(Univ. of Tokyo) / Hisashi Kashima(Kyoto Univ.) |
| Secretary | Masashi Sugiyama(Univ. of Tokyo) / Hisashi Kashima(Nagoya Inst. of Tech.) |
| Assistant | Toshihiro Kamishima(AIST) / Tomoharu Iwata(NTT) |
| Paper Information | |
| Registration To | Technical Committee on Infomation-Based Induction Sciences and Machine Learning |
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| Language | ENG-JTITLE |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | A stochastic optimization method and generalization bounds for voting classifiers by continuous density functions |
| Sub Title (in English) | |
| Keyword(1) | majority vote classifier |
| Keyword(2) | nonlinear classification |
| Keyword(3) | margin theory |
| Keyword(4) | stochastic particle gradient descent |
| 1st Author's Name | Atsushi Nitanda |
| 1st Author's Affiliation | Tokyo Institute of Technology/NTTDATA Mathematical Systems Inc.(Tokyo Tech./NTTDATA MSI) |
| 2nd Author's Name | Taiji Suzuki |
| 2nd Author's Affiliation | Tokyo Institute of Technology/Japan Science and Technology Agency/RIKEN(Tokyo Tech./JST/RIKEN) |
| Date | 2017-03-07 |
| Paper # | IBISML2016-108 |
| Volume (vol) | vol.116 |
| Number (no) | IBISML-500 |
| Page | pp.pp.63-69(IBISML), |
| #Pages | 7 |
| Date of Issue | 2017-02-27 (IBISML) |