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Journal Article (2)

1.
Journal Article
Sriperumbudur, B.; Gretton, A.; Fukumizu, K.; Schölkopf, B.; Lanckriet, G.: Hilbert Space Embeddings and Metrics on Probability Measures. Journal of Machine Learning Research 11, pp. 1517 - 1561 (2010)
2.
Journal Article
Fukumizu, K.; Bach, F.; Gretton, A.: Statistical Consistency of Kernel Canonical Correlation Analysis. The Journal of Machine Learning Research 8, pp. 361 - 383 (2007)

Conference Paper (12)

3.
Conference Paper
Dinuzzo, F.; Fukumizu, K.: Learning low-rank output kernels. In: Asian Conference on Machine Learning, 14-15 November 2011, South Garden Hotels and Resorts, Taoyuan, Taiwain, pp. 181 - 196 (Eds. Hsu, C.-N.; Lee, W.). 3rd Asian Conference on Machine Learning (ACML 2011), Taoyuan, Taiwan. JMLR, Cambridge, MA, USA (2011)
4.
Conference Paper
Sriperumbudur, B.; Fukumizu, K.; Gretton, A.; Schölkopf, B.; Lanckriet, G.: Non-parametric estimation of integral probability metrics. In: IEEE International Symposium on Information Theory (ISIT 2010), pp. 1428 - 1432. IEEE International Symposium on Information Theory (ISIT 2010), Austin, TX, USA, June 13, 2010 - June 18, 2010. IEEE, Piscataway, NJ, USA (2010)
5.
Conference Paper
Gretton, A.; Fukumizu, K.; Harchaoui, Z.; Sriperumbudur, B.: A Fast, Consistent Kernel Two-Sample Test. In: Advances in Neural Information Processing Systems 22, pp. 673 - 681 (Eds. Bengio, Y.; Schuurmans, D.; Lafferty, J.; Williams, C.; Culotta, A.). 23rd Annual Conference on Neural Information Processing Systems (NIPS 2009), Vancouver, BC, Canada, December 07, 2009 - December 10, 2009. Curran, Red Hook, NY, USA (2010)
6.
Conference Paper
Sriperumbudur, B.; Fukumizu, K.; Gretton, A.; Lanckriet, G.; Schölkopf, B.: Kernel Choice and Classifiability for RKHS Embeddings of Probability Distributions. In: Advances in Neural Information Processing Systems 22, pp. 1750 - 1758 (Eds. Bengio, Y.; Schuurmans, D.; Lafferty, J.; Williams, C.; Culotta, A.). 23rd Annual Conference on Neural Information Processing Systems (NIPS 2009), Vancouver, BC, Canada, December 07, 2009 - December 10, 2009. Curran, Red Hook, NY, USA (2010)
7.
Conference Paper
Fukumizu, K.; Sriperumbudur, B.; Gretton, A.; Schölkopf, B.: Characteristic Kernels on Groups and Semigroups. In: Advances in neural information processing systems 21, pp. 473 - 480 (Eds. Koller, D.; Schuurmans, D.; Bengio, Y.; Bottou, L.). Twenty-Second Annual Conference on Neural Information Processing Systems (NIPS 2008), Vancouver, BC, Canada, December 08, 2008 - December 10, 2008. Curran, Red Hook, NY, USA (2009)
8.
Conference Paper
Fukumizu, K.; Gretton, A.; Sun, X.; Schölkopf, B.: Kernel Measures of Conditional Dependence. In: Advances in Neural Information Processing Systems 20: 21st Annual Conference on Neural Information Processing Systems 2007, pp. 489 - 496 (Eds. Platt, C.; Koller, D.; Singer, Y.; Roweis, S.). Twenty-First Annual Conference on Neural Information Processing Systems (NIPS 2007), Vancouver, BC, Canada, December 03, 2007 - December 06, 2007. Curran, Red Hook, NY, USA (2008)
9.
Conference Paper
Gretton, A.; Fukumizu, K.; Teo, C.; Song , L.; Schölkopf, B.; Smola, A.: A Kernel Statistical Test of Independence. In: Advances in Neural Information Processing Systems 20: 21st Annual Conference on Neural Information Processing Systems 2007, pp. 585 - 592 (Eds. Platt, J.; Koller, D.; Singer, Y.; Roweis, S.). Twenty-First Annual Conference on Neural Information Processing Systems (NIPS 2007), Vancouver, BC, Canada, December 03, 2007 - December 06, 2007. Curran, Red Hook, NY, USA (2008)
10.
Conference Paper
Schölkopf, B.; Sriperumbudur, B.; Gretton, A.; Fukumizu, K.: RKHS Representation of Measures Applied to Homogeneity, Independence, and Fourier Optics. In: 30. Oberwolfach Report: Workshop Learning Theory and Approximation, pp. 42 - 44 (Eds. Jetter, K.; Smale, S.; Zhou, D.-X.). 30. Oberwolfach Report, Oberwolfach, Germany, June 29, 2008 - July 05, 2008. Mathematisches Forschungsinstitut, Oberwolfach-Walke, Germany (2008)
11.
Conference Paper
Sriperumbudur, B.; Gretton, A.; Fukumizu, K.; Lanckriet, G.; Schölkopf, B.: Injective Hilbert Space Embeddings of Probability Measures. In: 21st Annual Conference on Learning Theory (COLT 2008), pp. 111 - 122 (Eds. Servedio, R.; Zhang, T.). 21st Annual Conference on Learning Theory (COLT 2008), Helsinki, Finland, July 09, 2008 - July 12, 2008. Omnipress, Madison, WI, USA (2008)
12.
Conference Paper
Sun, X.; Janzing, D.; Schölkopf, B.; Fukumizu, K.: A Kernel-Based Causal Learning Algorithm. In: ICML '07: 24th International Conference on Machine Learning, pp. 855 - 862 (Ed. Ghahramani, Z.). 24th Annual International Conference on Machine Learning (ICML 2007), Corvallis, OR, USA, June 20, 2007 - June 24, 2007. ACM Press, New York, NY, USA (2007)
13.
Conference Paper
Fukumizu, K.; Bach, F.; Gretton, A.: Statistical Convergence of Kernel CCA. In: Advances in Neural Information Processing Systems 18: Proceedings of the 2005 Conference, pp. 387 - 394 (Eds. Weiss, Y.; Schölkopf, B.; Platt, J.). Nineteenth Annual Conference on Neural Information Processing Systems (NIPS 2005), Vancouver, BC, Canada, December 05, 2005 - December 08, 2005. MIT Press, Cambridge, MA, USA (2006)
14.
Conference Paper
Fukumizu, K.: Infinite dimensional exponential families by reproducing kernel Hilbert spaces. In: 2nd International Symposium on Information Geometry and its Applications (IGAIA 2005), pp. 324 - 333. 2nd International Symposium on Information Geometry and its Applications (IGAIA 2005), Tokyo, Japan, December 12, 2005 - December 16, 2005. (2005)

Talk (3)

15.
Talk
Smola, A.; Gretton, A.; Fukumizu, K.: Painless Embeddings of Distributions: the Function Space View. 25th International Conference on Machine Learning (ICML 2008), Helsinki, Finland (2008)
16.
Talk
Fukumizu, K.; Gretton, A.; Sun, X.; Schölkopf, B.: Measuring Conditional Dependence with Kernels. 2nd Workshop on Machine Learning and Optimization at the ISM, Tokyo, Japan (2007)
17.
Talk
Gretton, A.; Borgwardt, K.; Fukumizu, K.; Rasch, M.; Schölkopf, B.; Smola, A.; Song , L.; Teo, C.: Hilbert Space Representations of Probability Distributions. 2nd Workshop on Machine Learning and Optimization at the ISM, Tokyo, Japan (2007)

Report (1)

18.
Report
Fukumizu, K.; Bach, F.; Gretton, A.: Consistency of Kernel Canonical Correlation Analysis. Institute of Statistical Mathematics, Tokyo, Japan (2005), 22 pp.
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