| Presentation | 2020-03-11 Calibrated Surrogate Maximization of Linear-Fractional Utility in Binary Classification Han Bao, Masashi Sugiyama, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Complex classification performance metrics such as the F-measure and Jaccard index are often used to handle class imbalance. They are not endowed with M-estimation, which makes optimization hard. We consider a family named linear-fractional metrics and propose methods to directly maximize performance objectives via a calibrated surrogate, which is a tractable yet consistent lower-bound of the original objectives. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | binary classificationF-measureJaccard indexsurrogate lossclassification calibrationcalibrated surrogate loss |
| Paper # | IBISML2019-43 |
| Date of Issue | 2020-03-03 (IBISML) |
| Conference Information | |
| Committee | IBISML |
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| Conference Date | 2020/3/10(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 | Hisashi Kashima(Kyoto Univ.) |
| Vice Chair | Masashi Sugiyama(Univ. of Tokyo) / Koji Tsuda(Univ. of Tokyo) |
| Secretary | Masashi Sugiyama(Nagoya Inst. of Tech.) / Koji Tsuda(AIST) |
| Assistant | Tomoharu Iwata(NTT) / Shigeyuki Oba(Kyoto Univ.) |
| Paper Information | |
| Registration To | Technical Committee on Infomation-Based Induction Sciences and Machine Learning |
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| Language | ENG |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Calibrated Surrogate Maximization of Linear-Fractional Utility in Binary Classification |
| Sub Title (in English) | |
| Keyword(1) | binary classificationF-measureJaccard indexsurrogate lossclassification calibrationcalibrated surrogate loss |
| 1st Author's Name | Han Bao |
| 1st Author's Affiliation | The University of Tokyo/RIKEN(Univ. of Tokyo/RIKEN) |
| 2nd Author's Name | Masashi Sugiyama |
| 2nd Author's Affiliation | RIKEN/The University of Tokyo(RIKEN/Univ. of Tokyo) |
| Date | 2020-03-11 |
| Paper # | IBISML2019-43 |
| Volume (vol) | vol.119 |
| Number (no) | IBISML-476 |
| Page | pp.pp.71-78(IBISML), |
| #Pages | 8 |
| Date of Issue | 2020-03-03 (IBISML) |