Direct density-ratio estimation with dimensionality reduction via least-squares hetero-distributional subspace search - researchr publication related

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Masashi Sugiyama, Makoto Yamada, Paul von Bünau, Taiji Suzuki, Takafumi Kanamori, Motoaki Kawanabe. Direct density-ratio estimation with dimensionality reduction via least-squares hetero-distributional subspace search. Neural Networks, 24(2):183-198, 2011. [doi]

The following publications are possibly variants of this publication:

Direct Density-Ratio Estimation with Dimensionality Reduction via Hetero-Distributional Subspace AnalysisMakoto Yamada, Masashi Sugiyama. AAAI 2011: 549-554 [doi]

Direct Density Ratio Estimation with Dimensionality ReductionMasashi Sugiyama, Satoshi Hara, Paul von Bünau, Taiji Suzuki, Takafumi Kanamori, Motoaki Kawanabe. sdm 2010: 595-606 [doi]

Conditional Density Estimation via Least-Squares Density Ratio EstimationMasashi Sugiyama, Ichiro Takeuchi, Taiji Suzuki, Takafumi Kanamori, Hirotaka Hachiya, Daisuke Okanohara. jmlr, 9:781-788, 2010. [doi]

Sufficient Dimension Reduction via Direct Estimation of the Gradients of Logarithmic Conditional DensitiesHiroaki Sasaki, Voot Tangkaratt, Gang Niu, Masashi Sugiyama. neco, 30(2), 2018. [doi]

Sufficient Dimension Reduction via Direct Estimation of the Gradients of Logarithmic Conditional DensitiesHiroaki Sasaki, Voot Tangkaratt, Masashi Sugiyama. acml 2015: 33-48 [doi]

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