Deep Mutual Density Ratio Estimation with Bregman Divergence and Its Applications

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Publication Details

Journal
Journal of the American Statistical Association
Published
2025-06-02
DOI
https://doi.org/10.1080/01621459.2025.2507437
Primary Topic
Sparse and Compressive Sensing Techniques
Type
article
Field-Weighted Citation Impact
0.00

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article

Deep Mutual Density Ratio Estimation with Bregman Divergence and Its Applications

Xinyuan Song, Jian Huang, Guohao Shen, Dongxiao Han et al.
Journal of the American Statistical Association
Sparse and Compressive Sensing Techniques
article

Deep Mutual Density Ratio Estimation with Bregman Divergence and Its Applications

Xinyuan Song, Jian Huang, Guohao Shen, Dongxiao Han, Siming Zheng, Liuquan Sun
article en

Abstract

No abstract available for this paper.
Journal of the American Statistical AssociationVol. 120(551)
Hong Kong Polytechnic University (HK), Chinese University of Hong Kong (HK), Chinese Academy of Sciences (CN), Nankai University (CN), Academy of Mathematics and Systems Science (CN)
National Natural Science Foundation of China, Hong Kong Polytechnic University, Natural Science Foundation of Tianjin City, Fundamental Research Funds for the Central Universities
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Openalex Percentile: Top 87%
Sparse and Compressive Sensing Techniques
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