Motoaki Kawanabe

2008
26	EE	Tsuyoshi Ueno, Motoaki Kawanabe, Takeshi Mori, Shin-ichi Maeda, Shin Ishii: A semiparametric statistical approach to model-free policy evaluation. ICML 2008: 1072-1079
25	EE	Masashi Sugiyama, Motoaki Kawanabe, Gilles Blanchard, Klaus-Robert Müller: Approximating the Best Linear Unbiased Estimator of Non-Gaussian Signals with Gaussian Noise. IEICE Transactions 91-D(5): 1577-1580 (2008)
2007
24	EE	Fabian J. Theis, Motoaki Kawanabe: Colored Subspace Analysis. ICA 2007: 121-128
23	EE	Keisuke Yamazaki, Motoaki Kawanabe, Sumio Watanabe, Masashi Sugiyama, Klaus-Robert Müller: Asymptotic Bayesian generalization error when training and test distributions are different. ICML 2007: 1079-1086
22	EE	Motoaki Kawanabe, Fabian J. Theis: Joint low-rank approximation for extracting non-Gaussian subspaces. Signal Processing 87(8): 1890-1903 (2007)
2006
21	EE	Motoaki Kawanabe, Gilles Blanchard, Masashi Sugiyama, Vladimir Spokoiny, Klaus-Robert Müller: A Novel Dimension Reduction Procedure for Searching Non-Gaussian Subspaces. ICA 2006: 149-156
20	EE	Motoaki Kawanabe, Fabian J. Theis: Estimating Non-Gaussian Subspaces by Characteristic Functions. ICA 2006: 157-164
19	EE	Fabian J. Theis, Motoaki Kawanabe: Uniqueness of Non-Gaussian Subspace Analysis. ICA 2006: 917-925
18	EE	Gilles Blanchard, Motoaki Kawanabe, Masashi Sugiyama, Vladimir Spokoiny, Klaus-Robert Müller: In Search of Non-Gaussian Components of a High-Dimensional Distribution. Journal of Machine Learning Research 7: 247-282 (2006)
2005
17	EE	Motoaki Kawanabe: Linear Dimension Reduction Based on the Fourth-Order Cumulant Tensor. ICANN (2) 2005: 151-156
16	EE	Gilles Blanchard, Masashi Sugiyama, Motoaki Kawanabe, Vladimir Spokoiny, Klaus-Robert Müller: Non-Gaussian Component Analysis: a Semi-parametric Framework for Linear Dimension Reduction. NIPS 2005
15	EE	Motoaki Kawanabe, Klaus-Robert Müller: Estimating Functions for Blind Separation When Sources Have Variance Dependencies. Journal of Machine Learning Research 6: 453-482 (2005)
2004
14	EE	Masashi Sugiyama, Motoaki Kawanabe, Klaus-Robert Müller: Regularizing generalization error estimators: a novel approach to robust model selection. ESANN 2004: 163-168
13	EE	Motoaki Kawanabe, Klaus-Robert Müller: Estimating Functions for Blind Separation when Sources Have Variance-Dependencies. ICA 2004: 136-143
12	EE	Koji Tsuda, Shotaro Akaho, Motoaki Kawanabe, Klaus-Robert Müller: Asymptotic Properties of the Fisher Kernel. Neural Computation 16(1): 115-137 (2004)
11	EE	Masashi Sugiyama, Motoaki Kawanabe, Klaus-Robert Müller: Trading Variance Reduction with Unbiasedness: The Regularized Subspace Information Criterion for Robust Model Selection in Kernel Regression. Neural Computation 16(5): 1077-1104 (2004)
2003
10	EE	Volker Roth, Julian Laub, Motoaki Kawanabe, Joachim M. Buhmann: Optimal Cluster Preserving Embedding of Nonmetric Proximity Data. IEEE Trans. Pattern Anal. Mach. Intell. 25(12): 1540-1551 (2003)
9	EE	Andreas Ziehe, Motoaki Kawanabe, Stefan Harmeling, Klaus-Robert Müller: Blind Separation of Post-nonlinear Mixtures using Linearizing Transformations and Temporal Decorrelation. Journal of Machine Learning Research 4: 1319-1338 (2003)
8	EE	Stefan Harmeling, Andreas Ziehe, Motoaki Kawanabe, Klaus-Robert Müller: Kernel-Based Nonlinear Blind Source Separation. Neural Computation 15(5): 1089-1124 (2003)
2002
7	EE	Koji Tsuda, Motoaki Kawanabe: The Leave-One-Out Kernel. ICANN 2002: 727-732
6	EE	Koji Tsuda, Motoaki Kawanabe, Klaus-Robert Müller: Clustering with the Fisher Score. NIPS 2002: 729-736
5	EE	Koji Tsuda, Motoaki Kawanabe, Gunnar Rätsch, Sören Sonnenburg, Klaus-Robert Müller: A New Discriminative Kernel from Probabilistic Models. Neural Computation 14(10): 2397-2414 (2002)
4	EE	Noboru Murata, Motoaki Kawanabe, Andreas Ziehe, Klaus-Robert Müller, Shun-ichi Amari: On-line learning in changing environments with applications in supervised and unsupervised learning. Neural Networks 15(4-6): 743-760 (2002)
2001
3	EE	Frank C. Meinecke, Andreas Ziehe, Motoaki Kawanabe, Klaus-Robert Müller: Estimating the Reliability of ICA Projections. NIPS 2001: 1181-1188
2	EE	Stefan Harmeling, Alexander Ziehe, Motoaki Kawanabe, Klaus-Robert Müller: Kernel Feature Spaces and Nonlinear Blind Souce Separation. NIPS 2001: 761-768
1	EE	Koji Tsuda, Motoaki Kawanabe, Gunnar Rätsch, Sören Sonnenburg, Klaus-Robert Müller: A New Discriminative Kernel From Probabilistic Models. NIPS 2001: 977-984

Coauthor Index

1	Shotaro Akaho	[12]
2	Shun-ichi Amari	[4]
3	Gilles Blanchard	[16] [18] [21] [25]
4	Joachim M. Buhmann	[10]
5	Stefan Harmeling	[2] [8] [9]
6	Shin Ishii	[26]
7	Julian Laub	[10]
8	Shin-ichi Maeda	[26]
9	Frank C. Meinecke	[3]
10	Takeshi Mori	[26]
11	Klaus-Robert Müller	[1] [2] [3] [4] [5] [6] [8] [9] [11] [12] [13] [14] [15] [16] [18] [21] [23] [25]
12	Noboru Murata	[4]
13	Gunnar Rätsch	[1] [5]
14	Volker Roth	[10]
15	Sören Sonnenburg	[1] [5]
16	Vladimir Spokoiny	[16] [18] [21]
17	Masashi Sugiyama	[11] [14] [16] [18] [21] [23] [25]
18	Fabian J. Theis	[19] [20] [22] [24]
19	Koji Tsuda	[1] [5] [6] [7] [12]
20	Tsuyoshi Ueno	[26]
21	Sumio Watanabe	[23]
22	Keisuke Yamazaki	[23]
23	Alexander Ziehe	[2]
24	Andreas Ziehe	[3] [4] [8] [9]

Colors in the list of coauthors