Presentation 2014-11-17
Target Shift Adaptation for Conditional Density Estimation and Regression
Than Duong NGUYEN, PLESSIS Marthinus Christoffel DU, Masashi SUGIYAMA,
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Abstract(in English) We consider the problem of domain adaptation under the target shift scenario, where the target marginal distribution p(y) changes between the training and testing phases, while the target-conditioned covariate distribution p(x|y) remains unchanged. Although various methods for mitigating target shift in classification (a.k.a. class-prior change) have been developed so far, few methods can be applied to continuous targets. In this paper, we propose methods of continuous target shift adaptation in regression and conditional density estimation. More specifically, our contribution is a novel importance weight estimator for continuous targets. Through experiments, the usefulness of the proposed methods is demonstrated.
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Keyword(in English) target shift adaptation / conditional density estimation / regression / importance weight
Paper # IBISML2014-55
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Committee IBISML
Conference Date 2014/11/10(1days)
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Language ENG
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Target Shift Adaptation for Conditional Density Estimation and Regression
Sub Title (in English)
Keyword(1) target shift adaptation
Keyword(2) conditional density estimation
Keyword(3) regression
Keyword(4) importance weight
1st Author's Name Than Duong NGUYEN
1st Author's Affiliation Department of Computer Science, Tokyo Institute of Technology()
2nd Author's Name PLESSIS Marthinus Christoffel DU
2nd Author's Affiliation Department of Complexity Science and Engineering, University of Tokyo
3rd Author's Name Masashi SUGIYAMA
3rd Author's Affiliation Department of Complexity Science and Engineering, University of Tokyo
Date 2014-11-17
Paper # IBISML2014-55
Volume (vol) vol.114
Number (no) 306
Page pp.pp.-
#Pages 6
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