| Presentation | 2018-11-05 [Poster Presentation] Active Learning in Sparse Linear Regression Models via Selective Inference Yuta Umezu, Ichiro Takeuchi, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | In order to efficiently estimate interested parameter, one can design sampling strategy by defining some criterion on the optimality. This is a problem of so-called active learning or optimal design of experiment. On the other hand, we expect that we can estimate it more efficiently by conducting model selection method when the number of feature is large. However, since the estimator depends on the result of model selection, the problem of selection bias would be occur when we consider the model selection and active learning simultaneously. In this paper, we propose novel active learning method after model selection by exploiting the idea of selective inference. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Active Learning / Lasso / Model Selection / Selective $A$-optimality / Selective Inference |
| Paper # | IBISML2018-95 |
| Date of Issue | 2018-10-29 (IBISML) |
| Conference Information | |
| Committee | IBISML |
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| Conference Date | 2018/11/5(3days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Hokkaido Citizens Activites Center (Kaderu 2.7) |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Information-Based Induction Science Workshop (IBIS2018) |
| 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 | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | [Poster Presentation] Active Learning in Sparse Linear Regression Models via Selective Inference |
| Sub Title (in English) | |
| Keyword(1) | Active Learning |
| Keyword(2) | Lasso |
| Keyword(3) | Model Selection |
| Keyword(4) | Selective $A$-optimality |
| Keyword(5) | Selective Inference |
| 1st Author's Name | Yuta Umezu |
| 1st Author's Affiliation | Nagoya Institute of Technology(NIT) |
| 2nd Author's Name | Ichiro Takeuchi |
| 2nd Author's Affiliation | Nagoya Institute of Technology/National Institute for Materials Science/RIKEN(NIT/NIMS/RIKEN) |
| Date | 2018-11-05 |
| Paper # | IBISML2018-95 |
| Volume (vol) | vol.118 |
| Number (no) | IBISML-284 |
| Page | pp.pp.381-388(IBISML), |
| #Pages | 8 |
| Date of Issue | 2018-10-29 (IBISML) |