Search Machine Learning Repository:
All publications by Taiji Suzuki
authors venues years



Convergence rate of Bayesian tensor estimator and its minimax optimality
Taiji Suzuki
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Stochastic Dual Coordinate Ascent with Alternating Direction Method of Multipliers
Taiji Suzuki
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Convex Tensor Decomposition via Structured Schatten Norm Regularization
Ryota Tomioka and Taiji Suzuki
Advances in Neural Information Processing Systems 26, 2013


Dual Averaging and Proximal Gradient Descent for Online Alternating Direction Multiplier Method
Taiji Suzuki
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Density-Difference Estimation
Masashi Sugiyama, Takafumi Kanamori, Taiji Suzuki, Marthinus D. Plessis, Song Liu and Ichiro Takeuchi
Advances in Neural Information Processing Systems 25, 2012


Fast Learning Rate of Multiple Kernel Learning: Trade-Off between Sparsity and Smoothness
Taiji Suzuki and Masashi Sugiyama
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Unifying Framework for Fast Learning Rate of Non-Sparse Multiple Kernel Learning
Taiji Suzuki
Advances in Neural Information Processing Systems 24, 2011


Statistical Performance of Convex Tensor Decomposition
Ryota Tomioka, Taiji Suzuki, Kohei Hayashi and Hisashi Kashima
Advances in Neural Information Processing Systems 24, 2011


Relative Density-Ratio Estimation for Robust Distribution Comparison
Makoto Yamada, Taiji Suzuki, Takafumi Kanamori, Hirotaka Hachiya and Masashi Sugiyama
Advances in Neural Information Processing Systems 24, 2011


A Fast Augmented Lagrangian Algorithm for Learning Low-Rank Matrices
Ryota Tomioka, Taiji Suzuki, Masashi Sugiyama and Hisashi Kashima
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


Sufficient Dimension Reduction via Squared-loss Mutual Information Estimation
Taiji Suzuki and Masashi Sugiyama
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics (AISTATS-10), 2010


Conditional Density Estimation via Least-Squares Density Ratio Estimation
Masashi Sugiyama, Ichiro Takeuchi, Taiji Suzuki, Takafumi Kanamori, Hirotaka Hachiya and Daisuke Okanohara
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics (AISTATS-10), 2010