Search results for "Taiji Suzuki"

Hits ?▲	Authors	Title	Venue	Year	Link	Author keywords
1	Taiji Suzuki, Masashi Sugiyama	Fast Learning Rate of Multiple Kernel Learning: Trade-Off between Sparsity and Smoothness.	Journal of Machine Learning Research - Proceedings Track	2012	DBLP BibTeX RDF
1	Takafumi Kanamori, Taiji Suzuki, Masashi Sugiyama	Statistical analysis of kernel-based least-squares density-ratio estimation.	Machine Learning	2012	DBLP DOI BibTeX RDF
1	Takafumi Kanamori, Akiko Takeda, Taiji Suzuki	A Conjugate Property between Loss Functions and Uncertainty Sets in Classification Problems	CoRR	2012	DBLP BibTeX RDF
1	Takafumi Kanamori, Taiji Suzuki, Masashi Sugiyama	$f$ -Divergence Estimation and Two-Sample Homogeneity Test Under Semiparametric Density-Ratio Models.	IEEE Transactions on Information Theory	2012	DBLP DOI BibTeX RDF
1	Masashi Sugiyama, Taiji Suzuki	Least-Squares Independence Test.	IEICE Transactions	2011	DBLP BibTeX RDF
1	Ryota Tomioka, Taiji Suzuki, Masashi Sugiyama	Super-Linear Convergence of Dual Augmented Lagrangian Algorithm for Sparsity Regularized Estimation.	Journal of Machine Learning Research	2011	DBLP BibTeX RDF
1	Taiji Suzuki, Ryota Tomioka	SpicyMKL: a fast algorithm for Multiple Kernel Learning with thousands of kernels.	Machine Learning	2011	DBLP DOI BibTeX RDF
1	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	2011	DBLP DOI BibTeX RDF
1	Masashi Sugiyama, Taiji Suzuki, Yuta Itoh, Takafumi Kanamori, Manabu Kimura	Least-squares two-sample test.	Neural Networks	2011	DBLP DOI BibTeX RDF
1	Taiji Suzuki, Masashi Sugiyama	Least-Squares Independent Component Analysis.	Neural Computation	2011	DBLP DOI BibTeX RDF
1	Taiji Suzuki	Unifying Framework for Fast Learning Rate of Non-Sparse Multiple Kernel Learning.	NIPS	2011	DBLP BibTeX RDF
1	Ryota Tomioka, Taiji Suzuki, Kohei Hayashi, Hisashi Kashima	Statistical Performance of Convex Tensor Decomposition.	NIPS	2011	DBLP BibTeX RDF
1	Makoto Yamada, Taiji Suzuki, Takafumi Kanamori, Hirotaka Hachiya, Masashi Sugiyama	Relative Density-Ratio Estimation for Robust Distribution Comparison.	NIPS	2011	DBLP BibTeX RDF
1	Takafumi Kanamori, Taiji Suzuki, Masashi Sugiyama	Theoretical Analysis of Density Ratio Estimation.	IEICE Transactions	2010	DBLP BibTeX RDF
1	Masashi Sugiyama, Ichiro Takeuchi, Taiji Suzuki, Takafumi Kanamori, Hirotaka Hachiya, Daisuke Okanohara	Least-Squares Conditional Density Estimation.	IEICE Transactions	2010	DBLP BibTeX RDF
1	Taiji Suzuki, Masashi Sugiyama	Sufficient Dimension Reduction via Squared-loss Mutual Information Estimation.	Journal of Machine Learning Research - Proceedings Track	2010	DBLP BibTeX RDF
1	Masashi Sugiyama, Ichiro Takeuchi, Taiji Suzuki, Takafumi Kanamori, Hirotaka Hachiya, Daisuke Okanohara	Conditional Density Estimation via Least-Squares Density Ratio Estimation.	Journal of Machine Learning Research - Proceedings Track	2010	DBLP BibTeX RDF
1	Masashi Sugiyama, Satoshi Hara, Paul von Bünau, Taiji Suzuki, Takafumi Kanamori, Motoaki Kawanabe	Direct Density Ratio Estimation with Dimensionality Reduction.	SDM	2010	DBLP BibTeX RDF
1	Ryota Tomioka, Taiji Suzuki, Masashi Sugiyama, Hisashi Kashima	A Fast Augmented Lagrangian Algorithm for Learning Low-Rank Matrices.	ICML	2010	DBLP BibTeX RDF
1	Taiji Suzuki, Masashi Sugiyama, Takafumi Kanamori, Jun Sese	Mutual information estimation reveals global associations between stimuli and biological processes.	BMC Bioinformatics	2009	DBLP DOI BibTeX RDF
1	Taiji Suzuki, Masashi Sugiyama, Toshiyuki Tanaka	Mutual information approximation via maximum likelihood estimation of density ratio.	ISIT	2009	DBLP DOI BibTeX RDF
1	Taiji Suzuki, Masashi Sugiyama	Estimating Squared-Loss Mutual Information for Independent Component Analysis.	ICA	2009	DBLP DOI BibTeX RDF	Squared loss, Density ratio estimation, Independent component analysis, Mutual information, Cross-validation
1	Taiji Suzuki, Masashi Sugiyama, Jun Sese, Takafumi Kanamori	Approximating Mutual Information by Maximum Likelihood Density Ratio Estimation.	Journal of Machine Learning Research - Proceedings Track	2008	DBLP BibTeX RDF
1	Taiji Suzuki, Takamasa Koshizen, Kazuyuki Aihara, Hiroshi Tsujino	Learning to estimate user interest utilizing the variational Bayes estimator.	ISDA	2005	DBLP DOI BibTeX RDF

Publications of "Taiji Suzuki" ( http://dblp.L3S.de/Authors/Taiji_Suzuki )