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 | 2012 | |
|---|---|---|
| c26 |      | Dino Sejdinovic, Arthur Gretton, Bharath K. Sriperumbudur, Kenji Fukumizu: Hypothesis testing using pairwise distances and associated kernels. ICML 2012 |
| c25 | | Krikamol Muandet, Kenji Fukumizu, Francesco Dinuzzo, Bernhard Schölkopf: Learning from Distributions via Support Measure Machines. NIPS 2012: 10-18 |
| c24 | | Arthur Gretton, Bharath K. Sriperumbudur, Dino Sejdinovic, Heiko Strathmann, Sivaraman Balakrishnan, Massimiliano Pontil, Kenji Fukumizu: Optimal kernel choice for large-scale two-sample tests. NIPS 2012: 1214-1222 |
| c23 | | Kenji Fukumizu, Chenlei Leng: Gradient-based kernel method for feature extraction and variable selection. NIPS 2012: 2123-2131 |
| c22 | | Yu Nishiyama, Abdeslam Boularias, Arthur Gretton, Kenji Fukumizu: Hilbert Space Embeddings of POMDPs. UAI 2012: 644-653 |
| i10 | | Krikamol Muandet, Bernhard Schölkopf, Kenji Fukumizu, Francesco Dinuzzo: Learning from Distributions via Support Measure Machines. CoRR abs/1202.6504 (2012) |
| i9 | | Dino Sejdinovic, Arthur Gretton, Bharath K. Sriperumbudur, Kenji Fukumizu: Hypothesis testing using pairwise distances and associated kernels (with Appendix). CoRR abs/1205.0411 (2012) |
| i8 | | Dino Sejdinovic, Bharath K. Sriperumbudur, Arthur Gretton, Kenji Fukumizu: Equivalence of distance-based and RKHS-based statistics in hypothesis testing. CoRR abs/1207.6076 (2012) |
| i7 | | Yu Nishiyama, Abdeslam Boularias, Arthur Gretton, Kenji Fukumizu: Hilbert Space Embeddings of POMDPs. CoRR abs/1210.4887 (2012) |
| 2011 | ||
| j17 | | Yuichi Shiraishi, Kenji Fukumizu: Statistical approaches to combining binary classifiers for multi-class classification. Neurocomputing 74(5): 680-688 (2011) |
| j16 | | Bharath K. Sriperumbudur, Kenji Fukumizu, Gert R. G. Lanckriet: Universality, Characteristic Kernels and RKHS Embedding of Measures. Journal of Machine Learning Research 12: 2389-2410 (2011) |
| j15 | | Francesco Dinuzzo, Kenji Fukumizu: Learning low-rank output kernels. Journal of Machine Learning Research - Proceedings Track 20: 181-196 (2011) |
| c21 | | |
| c20 | | Bharath K. Sriperumbudur, Kenji Fukumizu, Gert R. G. Lanckriet: Learning in Hilbert vs. Banach Spaces: A Measure Embedding Viewpoint. NIPS 2011: 1773-1781 |
| i6 | | Yusuke Watanabe, Kenji Fukumizu: Loopy Belief Propagation, Bethe Free Energy and Graph Zeta Function. CoRR abs/1103.0605 (2011) |
| i5 | | Kenji Fukumizu, Chenlei Leng: Gradient-based kernel dimension reduction for supervised learning. CoRR abs/1109.0455 (2011) |
| 2010 | ||
| j14 | | Bharath K. Sriperumbudur, Kenji Fukumizu, Gert R. G. Lanckriet: On the relation between universality, characteristic kernels and RKHS embedding of measures. Journal of Machine Learning Research - Proceedings Track 9: 773-780 (2010) |
| j13 | | Bharath K. Sriperumbudur, Arthur Gretton, Kenji Fukumizu, Bernhard Schölkopf, Gert R. G. Lanckriet: Hilbert Space Embeddings and Metrics on Probability Measures. Journal of Machine Learning Research 11: 1517-1561 (2010) |
| j12 | | Ashad M. Alam, Mohammed Nasser, Kenji Fukumizu: A Comparative Study of Kernel and Robust Canonical Correlation Analysis. Journal of Multimedia 5(1): 3-11 (2010) |
| c19 | | Bharath K. Sriperumbudur, Kenji Fukumizu, Arthur Gretton, Bernhard Schölkopf, Gert R. G. Lanckriet: Non-parametric estimation of integral probability metrics. ISIT 2010: 1428-1432 |
| i4 | | Yusuke Watanabe, Kenji Fukumizu: Graph Zeta Function in the Bethe Free Energy and Loopy Belief Propagation. CoRR abs/1002.3307 (2010) |
| 2009 | ||
| c18 | | Le Song, Jonathan Huang, Alexander J. Smola, Kenji Fukumizu: Hilbert space embeddings of conditional distributions with applications to dynamical systems. ICML 2009: 121 |
| c17 | | Arthur Gretton, Kenji Fukumizu, Zaïd Harchaoui, Bharath K. Sriperumbudur: A Fast, Consistent Kernel Two-Sample Test. NIPS 2009: 673-681 |
| c16 | | Bharath K. Sriperumbudur, Kenji Fukumizu, Arthur Gretton, Gert R. G. Lanckriet, Bernhard Schölkopf: Kernel Choice and Classifiability for RKHS Embeddings of Probability Distributions. NIPS 2009: 1750-1758 |
| c15 | | Yusuke Watanabe, Kenji Fukumizu: Graph Zeta Function in the Bethe Free Energy and Loopy Belief Propagation. NIPS 2009: 2017-2025 |
| i3 | | Bharath K. Sriperumbudur, Arthur Gretton, Kenji Fukumizu, Gert R. G. Lanckriet, Bernhard Schölkopf: A note on integral probability metrics and $\phi$-divergences. CoRR abs/0901.2698 (2009) |
| i2 | | Yusuke Watanabe, Kenji Fukumizu: Graph polynomials and approximation of partition functions with Loopy Belief Propagation. CoRR abs/0903.4527 (2009) |
| 2008 | ||
| j11 | | Katsuyuki Hagiwara, Kenji Fukumizu: Relation between weight size and degree of over-fitting in neural network regression. Neural Networks 21(1): 48-58 (2008) |
| c14 | | Bharath K. Sriperumbudur, Arthur Gretton, Kenji Fukumizu, Gert R. G. Lanckriet, Bernhard Schölkopf: Injective Hilbert Space Embeddings of Probability Measures. COLT 2008: 111-122 |
| c13 | | Kenji Fukumizu, Bharath K. Sriperumbudur, Arthur Gretton, Bernhard Schölkopf: Characteristic Kernels on Groups and Semigroups. NIPS 2008: 473-480 |
| 2007 | ||
| j10 | | Kenji Fukumizu, Francis R. Bach, Arthur Gretton: Statistical Consistency of Kernel Canonical Correlation Analysis. Journal of Machine Learning Research 8: 361-383 (2007) |
| c12 | | |
| c11 | | Xiaohai Sun, Dominik Janzing, Bernhard Schölkopf, Kenji Fukumizu: A kernel-based causal learning algorithm. ICML 2007: 855-862 |
| c10 | | Kenji Fukumizu, Arthur Gretton, Xiaohai Sun, Bernhard Schölkopf: Kernel Measures of Conditional Dependence. NIPS 2007 |
| c9 | | Arthur Gretton, Kenji Fukumizu, Choon Hui Teo, Le Song, Bernhard Schölkopf, Alex J. Smola: A Kernel Statistical Test of Independence. NIPS 2007 |
| 2006 | ||
| c8 | | Marco Cuturi, Kenji Fukumizu: Kernels on Structured Objects Through Nested Histograms. NIPS 2006: 329-336 |
| 2005 | ||
| j9 | | Marco Cuturi, Kenji Fukumizu, Jean-Philippe Vert: Semigroup Kernels on Measures. Journal of Machine Learning Research 6: 1169-1198 (2005) |
| c7 | | |
| i1 | | |
| 2004 | ||
| j8 | | Kenji Fukumizu, Francis R. Bach, Michael I. Jordan: Dimensionality Reduction for Supervised Learning with Reproducing Kernel Hilbert Spaces. Journal of Machine Learning Research 5: 73-99 (2004) |
| 2003 | ||
| c6 | | Kenji Fukumizu, Francis R. Bach, Michael I. Jordan: Kernel Dimensionality Reduction for Supervised Learning. NIPS 2003 |
| 2002 | ||
| c5 | | Kenji Fukumizu, Shotaro Akaho, Shun-ichi Amari: Critical Lines in Symmetry of Mixture Models and its Application to Component Splitting. NIPS 2002: 865-872 |
| 2000 | ||
| j7 | | Shun-ichi Amari, Hyeyoung Park, Kenji Fukumizu: Adaptive Method of Realizing Natural Gradient Learning for Multilayer Perceptrons. Neural Computation 12(6): 1399-1409 (2000) |
| j6 | | Kenji Fukumizu, Shun-ichi Amari: Local minima and plateaus in hierarchical structures of multilayer perceptrons. Neural Networks 13(3): 317-327 (2000) |
| j5 | | Hyeyoung Park, Shun-ichi Amari, Kenji Fukumizu: Adaptive natural gradient learning algorithms for various stochastic models. Neural Networks 13(7): 755-764 (2000) |
| j4 | | Kenji Fukumizu: Statistical active learning in multilayer perceptrons. IEEE Trans. Neural Netw. Learning Syst. 11(1): 17-26 (2000) |
| c4 | | Hyeyoung Park, Kenji Fukumizu, Shun-ichi Amari, Yillbyung Lee: An Efficient Learning Algorithm Using Naturla Gradient and Second Order Information of Error Surface. PRICAI 2000: 199-207 |
| 1999 | ||
| c3 | | Kenji Fukumizu: Generalization Error of Limear Neural Networks in Unidentifiable Cases. ALT 1999: 51-62 |
| 1998 | ||
| c2 |  | |
| 1996 | ||
| j3 | | Shin Ishi, Kenji Fukumizu, Sumio Watanabe: A network of chaotic elements for information processing. Neural Networks 9(1): 25-40 (1996) |
| j2 | | Kenji Fukumizu: A Regularity Condition of the Information Matrix of a Multilayer Perceptron Network. Neural Networks 9(5): 871-879 (1996) |
| 1995 | ||
| j1 | | Sumio Watanabe, Kenji Fukumizu: Probabilistic design of layered neural networks based on their unified framework. IEEE Trans. Neural Netw. Learning Syst. 6(3): 691-702 (1995) |
| c1 | | |
Colors in the list of coauthors
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