Masashi Sugiyama

2009
52	EE	Taiji Suzuki, Masashi Sugiyama: Estimating Squared-Loss Mutual Information for Independent Component Analysis. ICA 2009: 130-137
51	EE	Shinichi Nakajima, Masashi Sugiyama: Analysis of Variational Bayesian Matrix Factorization. PAKDD 2009: 314-326
50	EE	Takeaki Uno, Masashi Sugiyama, Koji Tsuda: Efficient Construction of Neighborhood Graphs by the Multiple Sorting Method CoRR abs/0904.3151: (2009)
2008
49		Hirotaka Hachiya, Takayuki Akiyama, Masashi Sugiyama, Jan Peters: Adaptive Importance Sampling with Automatic Model Selection in Value Function Approximation. AAAI 2008: 1351-1356
48	EE	Liwei Wang, Masashi Sugiyama, Cheng Yang, Zhi-Hua Zhou, Jufu Feng: On the Margin Explanation of Boosting Algorithms. COLT 2008: 479-490
47	EE	Masashi Sugiyama, Shinichi Nakajima: Pool-Based Agnostic Experiment Design in Linear Regression. ECML/PKDD (2) 2008: 406-422
46	EE	Shohei Hido, Yuta Tsuboi, Hisashi Kashima, Masashi Sugiyama, Takafumi Kanamori: Inlier-Based Outlier Detection via Direct Density Ratio Estimation. ICDM 2008: 223-232
45	EE	Akiko Takeda, Masashi Sugiyama: nu-support vector machine as conditional value-at-risk minimization. ICML 2008: 1056-1063
44	EE	Neil Rubens, Vera Sheinman, Takenobu Tokunaga, Masashi Sugiyama: Order Retrieval. LKR 2008: 310-317
43	EE	Takafumi Kanamori, Shohei Hido, Masashi Sugiyama: Efficient Direct Density Ratio Estimation for Non-stationarity Adaptation and Outlier Detection. NIPS 2008: 809-816
42	EE	Masashi Sugiyama, Tsuyoshi Idé, Shinichi Nakajima, Jun Sese: Semi-Supervised Local Fisher Discriminant Analysis for Dimensionality Reduction. PAKDD 2008: 333-344
41	EE	Yuta Tsuboi, Hisashi Kashima, Shohei Hido, Steffen Bickel, Masashi Sugiyama: Direct Density Ratio Estimation for Large-scale Covariate Shift Adaptation. SDM 2008: 443-454
40	EE	Masashi Sugiyama, Neil Rubens: Active Learning with Model Selection in Linear Regression. SDM 2008: 518-529
39	EE	Tsuyoshi Kato, Hisashi Kashima, Masashi Sugiyama: Integration of Multiple Networks for Robust Label Propagation. SDM 2008: 716-726
38	EE	Masashi Sugiyama, Hirotaka Hachiya, Christopher Towell, Sethu Vijayakumar: Geodesic Gaussian kernels for value function approximation. Auton. Robots 25(3): 287-304 (2008)
37	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)
36	EE	Masashi Sugiyama, Neil Rubens: A batch ensemble approach to active learning with model selection. Neural Networks 21(9): 1278-1286 (2008)
2007
35	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
34	EE	Masashi Sugiyama, Hirotaka Hachiya, Christopher Towell, Sethu Vijayakumar: Value Function Approximation on Non-Linear Manifolds for Robot Motor Control. ICRA 2007: 1733-1740
33	EE	Masashi Sugiyama, Shinichi Nakajima, Hisashi Kashima, Paul Von Bünau, Motoaki Kawanabe: Direct Importance Estimation with Model Selection and Its Application to Covariate Shift Adaptation. NIPS 2007
32	EE	Tsuyoshi Kato, Hisashi Kashima, Masashi Sugiyama, Kiyoshi Asai: Multi-Task Learning via Conic Programming. NIPS 2007
31	EE	Neil Rubens, Masashi Sugiyama: Influence-based collaborative active learning. RecSys 2007: 145-148
30	EE	Shun Gokita, Masashi Sugiyama, Keisuke Sakurai: Analytic Optimization of Adaptive Ridge Parameters Based on Regularized Subspace Information Criterion. IEICE Transactions 90-A(11): 2584-2592 (2007)
29	EE	Masashi Sugiyama: Generalization Error Estimation for Non-linear Learning Methods. IEICE Transactions 90-A(7): 1496-1499 (2007)
28	EE	Yasushi Hidaka, Masashi Sugiyama: A New Meta-Criterion for Regularized Subspace Information Criterion. IEICE Transactions 90-D(11): 1779-1786 (2007)
2006
27	EE	Masashi Sugiyama, Benjamin Blankertz, Matthias Krauledat, Guido Dornhege, Klaus-Robert Müller: Importance-Weighted Cross-Validation for Covariate Shift. DAGM-Symposium 2006: 354-363
26	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
25	EE	Masashi Sugiyama: Local Fisher discriminant analysis for supervised dimensionality reduction. ICML 2006: 905-912
24	EE	Amos J. Storkey, Masashi Sugiyama: Mixture Regression for Covariate Shift. NIPS 2006: 1337-1344
23	EE	Akira Tanaka, Masashi Sugiyama, Hideyuki Imai, Mineichi Kudo, Masaaki Miyakoshi: Model Selection Using a Class of Kernels with an Invariant Metric. SSPR/SPR 2006: 862-870
22	EE	Masashi Sugiyama, Keisuke Sakurai: Analytic Optimization of Shrinkage Parameters Based on Regularized Subspace Information Criterion. IEICE Transactions 89-A(8): 2216-2225 (2006)
21	EE	Masashi Sugiyama, Hidemitsu Ogawa: Constructing Kernel Functions for Binary Regression. IEICE Transactions 89-D(7): 2243-2249 (2006)
20	EE	Masashi Sugiyama: Active Learning in Approximately Linear Regression Based on Conditional Expectation of Generalization Error. Journal of Machine Learning Research 7: 141-166 (2006)
19	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
18	EE	Masashi Sugiyama, Klaus-Robert Müller: Model Selection Under Covariate Shift. ICANN (2) 2005: 235-240
17	EE	Masashi Sugiyama: Active Learning for Misspecified Models. NIPS 2005
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
2004
15	EE	Masashi Sugiyama, Motoaki Kawanabe, Klaus-Robert Müller: Regularizing generalization error estimators: a novel approach to robust model selection. ESANN 2004: 163-168
14		Masashi Sugiyama: Estimating the error at given test input points for linear regression. Neural Networks and Computational Intelligence 2004: 113-118
13	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)
2002
12	EE	Masashi Sugiyama, Klaus-Robert Müller: Selecting Ridge Parameters in Infinite Dimensional Hypothesis Spaces. ICANN 2002: 528-534
11	EE	Masashi Sugiyama, Klaus-Robert Müller: The Subspace Information Criterion for Infinite Dimensional Hypothesis Spaces. Journal of Machine Learning Research 3: 323-359 (2002)
10		Masashi Sugiyama, Hidemitsu Ogawa: Theoretical and Experimental Evaluation of the Subspace Information Criterion. Machine Learning 48(1-3): 25-50 (2002)
9	EE	Masashi Sugiyama, Hidemitsu Ogawa: Optimal design of regularization term and regularization parameter by subspace information criterion. Neural Networks 15(3): 349-361 (2002)
8	EE	Masashi Sugiyama, Hidemitsu Ogawa: A unified method for optimizing linear image restoration filters. Signal Processing 82(11): 1773-1787 (2002)
2001
7		Masashi Sugiyama, Hidemitsu Ogawa: Incremental Active Learning for Optimal Generalization. Neural Computation 12(12): 2909-2940 (2001)
6		Masashi Sugiyama, Hidemitsu Ogawa: Subspace Information Criterion for Model Selection. Neural Computation 13(8): 1863-1889 (2001)
5	EE	Masashi Sugiyama, Hidemitsu Ogawa: Incremental projection learning for optimal generalization. Neural Networks 14(1): 53-66 (2001)
4	EE	Masashi Sugiyama, Hidemitsu Ogawa: Properties of incremental projection learning. Neural Networks 14(1): 67-78 (2001)
2000
3	EE	Masashi Sugiyama, Hidemitsu Ogawa: A new information criterion for the selection of subspace models. ESANN 2000: 69-74
2	EE	Masashi Sugiyama, Hidemitsu Ogawa: Incremental Active Learning with Bias Reduction. IJCNN (1) 2000: 15-20
1999
1	EE	Masashi Sugiyama, Hidemitsu Ogawa: Training Data Selection for Optimal Generalization in Trigonometric Polynomial Networks. NIPS 1999: 624-630

Coauthor Index

1	Takayuki Akiyama	[49]
2	Kiyoshi Asai	[32]
3	Steffen Bickel	[41]
4	Gilles Blanchard	[16] [19] [26] [37]
5	Benjamin Blankertz	[27]
6	Paul Von Bünau	[33]
7	Guido Dornhege	[27]
8	Jufu Feng	[48]
9	Shun Gokita	[30]
10	Hirotaka Hachiya	[34] [38] [49]
11	Yasushi Hidaka	[28]
12	Shohei Hido	[41] [43] [46]
13	Tsuyoshi Idé	[42]
14	Hideyuki Imai	[23]
15	Takafumi Kanamori	[43] [46]
16	Hisashi Kashima	[32] [33] [39] [41] [46]
17	Tsuyoshi Kato	[32] [39]
18	Motoaki Kawanabe	[13] [15] [16] [19] [26] [33] [35] [37]
19	Matthias Krauledat	[27]
20	Mineichi Kudo	[23]
21	Masaaki Miyakoshi	[23]
22	Klaus-Robert Müller	[11] [12] [13] [15] [16] [18] [19] [26] [27] [35] [37]
23	Shinichi Nakajima	[33] [42] [47] [51]
24	Hidemitsu Ogawa	[1] [2] [3] [4] [5] [6] [7] [8] [9] [10] [21]
25	Jan Peters	[49]
26	Neil Rubens	[31] [36] [40] [44]
27	Keisuke Sakurai	[22] [30]
28	Jun Sese	[42]
29	Vera Sheinman	[44]
30	Vladimir Spokoiny	[16] [19] [26]
31	Amos J. Storkey	[24]
32	Taiji Suzuki	[52]
33	Akiko Takeda	[45]
34	Akira Tanaka	[23]
35	Takenobu Tokunaga	[44]
36	Christopher Towell	[34] [38]
37	Yuta Tsuboi	[41] [46]
38	Koji Tsuda	[50]
39	Takeaki Uno	[50]
40	Sethu Vijayakumar	[34] [38]
41	Liwei Wang	[48]
42	Sumio Watanabe	[35]
43	Keisuke Yamazaki	[35]
44	Cheng Yang	[48]
45	Zhi-Hua Zhou	[48]

Colors in the list of coauthors