Taiji Suzuki
Taiji Suzuki
Verified email at mist.i.u-tokyo.ac.jp - Homepage
Title
Cited by
Cited by
Year
Direct importance estimation with model selection and its application to covariate shift adaptation.
M Sugiyama, S Nakajima, H Kashima, P Von Buenau, M Kawanabe
NIPS 7, 1433-1440, 2007
7572007
Density ratio estimation in machine learning
M Sugiyama, T Suzuki, T Kanamori
Cambridge University Press, 2012
3752012
Direct importance estimation for covariate shift adaptation
M Sugiyama, T Suzuki, S Nakajima, H Kashima, P von Bünau, ...
Annals of the Institute of Statistical Mathematics 60 (4), 699-746, 2008
3082008
Statistical performance of convex tensor decomposition
R Tomioka, T Suzuki, K Hayashi, H Kashima
Advances in neural information processing systems 24, 972-980, 2011
1632011
Dual averaging and proximal gradient descent for online alternating direction multiplier method
T Suzuki
International Conference on Machine Learning, 392-400, 2013
1462013
Convex tensor decomposition via structured schatten norm regularization
R Tomioka, T Suzuki
arXiv preprint arXiv:1303.6370, 2013
1392013
Density-ratio matching under the Bregman divergence: a unified framework of density-ratio estimation
M Sugiyama, T Suzuki, T Kanamori
Annals of the Institute of Statistical Mathematics 64 (5), 1009-1044, 2012
1332012
Sufficient dimension reduction via squared-loss mutual information estimation
T Suzuki, M Sugiyama
Proceedings of the Thirteenth International Conference on Artificial …, 2010
1322010
Mutual information estimation reveals global associations between stimuli and biological processes
T Suzuki, M Sugiyama, T Kanamori, J Sese
BMC bioinformatics 10 (1), 1-12, 2009
1312009
Approximating mutual information by maximum likelihood density ratio estimation
T Suzuki, M Sugiyama, J Sese, T Kanamori
New challenges for feature selection in data mining and knowledge discovery …, 2008
1182008
Melting of antiferromagnetic ordering in spinel oxide CoAl2O4
T Suzuki, H Nagai, M Nohara, H Takagi
Journal of Physics: Condensed Matter 19 (14), 145265, 2007
1152007
Super-Linear Convergence of Dual Augmented Lagrangian Algorithm for Sparsity Regularized Estimation.
R Tomioka, T Suzuki, M Sugiyama
Journal of Machine Learning Research 12 (5), 2011
922011
Relative density-ratio estimation for robust distribution comparison
M Yamada, T Suzuki, T Kanamori, H Hachiya, M Sugiyama
Neural computation 25 (5), 1324-1370, 2013
882013
Statistical analysis of kernel-based least-squares density-ratio estimation
T Kanamori, T Suzuki, M Sugiyama
Machine Learning 86 (3), 335-367, 2012
882012
Least-squares conditional density estimation
M Sugiyama, I Takeuchi, T Suzuki, T Kanamori, H Hachiya, D Okanohara
IEICE Transactions on Information and Systems 93 (3), 583-594, 2010
832010
Graph neural networks exponentially lose expressive power for node classification
K Oono, T Suzuki
arXiv preprint arXiv:1905.10947, 2019
822019
Relative density-ratio estimation for robust distribution comparison
M Yamada, T Suzuki, T Kanamori, H Hachiya, M Sugiyama
arXiv preprint arXiv:1106.4729, 2011
782011
Adaptivity of deep ReLU network for learning in Besov and mixed smooth Besov spaces: optimal rate and curse of dimensionality
T Suzuki
International Conference on Learning Representations, 2019
722019
Adaptivity of deep ReLU network for learning in Besov and mixed smooth Besov spaces: optimal rate and curse of dimensionality
T Suzuki
arXiv preprint arXiv:1810.08033, 2018
722018
Density-difference estimation
M Sugiyama, T Kanamori, T Suzuki, MC du Plessis, S Liu, I Takeuchi
Neural Computation 25 (10), 2734-2775, 2013
712013
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Articles 1–20