Presentation 2021-03-02
Selective Inference for Convex Clustering Using Parametric Programming
Yumehiro Omori, Yu Inatsu, Ichiro Takeuchi,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) Traditional statistical inference assumes that the hypothesis is predetermined and cannot be used as is for statistical inference of the data-driven hypothesis selected by data analysis. In recent years, an approach called Selective Inference has attracted attention as a statistical inference method for data-driven hypotheses. In this study, we propose a selective inference method using parametric programming for convex clustering. Through artificial data experiments,we show that it is possible to control the false positive rate at any significance level, and that the proposed method is more powerful than the conventional selective inference method using the polyhedral approach.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Selective Inference / Convex Clustering / Parametric Programming
Paper # IBISML2020-35
Date of Issue 2021-02-23 (IBISML)

Conference Information
Committee IBISML
Conference Date 2021/3/2(3days)
Place (in Japanese) (See Japanese page)
Place (in English) Online
Topics (in Japanese) (See Japanese page)
Topics (in English) Organized and general sessions on machine learning
Chair Ichiro Takeuchi(Nagoya Inst. of Tech.)
Vice Chair Masashi Sugiyama(Univ. of Tokyo) / Koji Tsuda(Univ. of Tokyo)
Secretary Masashi Sugiyama(AIST) / Koji Tsuda(NTT)
Assistant Atsuyoshi Nakamura(Hokkaido Univ.) / Shigeyuki Oba(Miidas)

Paper Information
Registration To Technical Committee on Infomation-Based Induction Sciences and Machine Learning
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Selective Inference for Convex Clustering Using Parametric Programming
Sub Title (in English)
Keyword(1) Selective Inference
Keyword(2) Convex Clustering
Keyword(3) Parametric Programming
1st Author's Name Yumehiro Omori
1st Author's Affiliation Nagoya Institute of Technology(Nitech)
2nd Author's Name Yu Inatsu
2nd Author's Affiliation Nagoya Institute of Technology(Nitech)
3rd Author's Name Ichiro Takeuchi
3rd Author's Affiliation Nagoya Institute of Technology/RIKEN(Nitech/RIKEN)
Date 2021-03-02
Paper # IBISML2020-35
Volume (vol) vol.120
Number (no) IBISML-395
Page pp.pp.9-15(IBISML),
#Pages 7
Date of Issue 2021-02-23 (IBISML)