| Presentation | 2013-11-13 Learning Common Features of Parametrized Tasks Ichiro TAKEUCHI, Tatsuya HONGO, Masashi SUGIYAMA, Shinichi NAKAJIMA, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | We introduce a novel formulation of multi-task learning (MTL) called parametric task learning (PTL) that can systematically handle infinitely many tasks parameterized by a continuous parameter. Our key finding is that, for a certain class of PTL problems, the path of optimal task-wise solutions can be represented as piecewise-linear functions of the continuous task parameter. Based on this fact, we employ a parametric programming technique to obtain the common shared representation across all the continuously parameterized tasks efficiently. We show that our PTL formulation is useful in various scenarios such as learning under non-stationarity, cost-sensitive learning, and quantile regression, and demonstrate the usefulness of the proposed method experimentally in these scenarios. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | multitask learning / parametric programming |
| Paper # | IBISML2013-66 |
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| Conference Information | |
| Committee | IBISML |
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| Conference Date | 2013/11/5(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
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| Registration To | Information-Based Induction Sciences and Machine Learning (IBISML) |
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| Language | ENG |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Learning Common Features of Parametrized Tasks |
| Sub Title (in English) | |
| Keyword(1) | multitask learning |
| Keyword(2) | parametric programming |
| 1st Author's Name | Ichiro TAKEUCHI |
| 1st Author's Affiliation | Nagoya Institute of Technology() |
| 2nd Author's Name | Tatsuya HONGO |
| 2nd Author's Affiliation | Nagoya Institute of Technology |
| 3rd Author's Name | Masashi SUGIYAMA |
| 3rd Author's Affiliation | Tokyo Institute of Technology |
| 4th Author's Name | Shinichi NAKAJIMA |
| 4th Author's Affiliation | Nikon |
| Date | 2013-11-13 |
| Paper # | IBISML2013-66 |
| Volume (vol) | vol.113 |
| Number (no) | 286 |
| Page | pp.pp.- |
| #Pages | 8 |
| Date of Issue | |