Publications of A Gretton
All genres
Conference Paper (41)
41.
Conference Paper
A Hilbert Space Embedding for Distributions. In: Discovery Science: 10th International Conference, DS 2007 Sendai, Japan, October 1-4, 2007, pp. 40 - 41 (Eds. Corruble, V.; Takeda, M.; Suzuki, E.). 10th International Conference on Discovery Science (DS 2007), Sendai, Japan, October 01, 2007 - October 04, 2007. Springer, Berlin, Germany (2007)
42.
Conference Paper
Schölkopf, B.; Platt, J.; Hoffman, T.). Twentieth Annual Conference on Neural Information Processing Systems (NIPS 2006), Vancouver, BC, Canada, December 04, 2006 - December 07, 2006. MIT Press, Cambridge, MA, USA (2007)
A Kernel Method for the Two-Sample-Problem. In: Advances in Neural Information Processing Systems 19, pp. 513 - 520 (Eds. 43.
Conference Paper
Schölkopf, B.; Platt, J.; Hoffman, T.). Twentieth Annual Conference on Neural Information Processing Systems (NIPS 2006), Vancouver, BC, Canada, December 04, 2006 - December 07, 2006. MIT Press, Cambridge, MA, USA (2007)
Correcting Sample Selection Bias by Unlabeled Data. In: Advances in Neural Information Processing Systems 19, pp. 601 - 608 (Eds. 44.
Conference Paper
A Kernel Approach to Comparing Distributions. In: Twenty-Second AAAI Conference on Artificial Intelligence (IAAI-07), pp. 1637 - 1641. Twenty-Second AAAI Conference on Artificial Intelligence (IAAI-07), Vancouver, BC, Canada, July 22, 2007 - July 26, 2007. AAAI Press, Menlo Park, CA, USA (2007)
45.
Conference Paper
23 (13: ISMB/ECCB 2007 Conference Proceedings), pp. i490 - i498 (2007)
Gene selection via the BAHSIC family of algorithms. 15th Annual International Conference on Intelligent Systems for Molecular Biology & 6th European Conference on Computational Biology (ISMB/ECCB 2007), Wien, Austria, July 21, 2007 - July 25, 2007. Bioinformatics 46.
Conference Paper
A Dependence Maximization View of Clustering. In: ICML '07: 24th International Conference on Machine Learning, pp. 815 - 822 (Ed. Ghahramani, Z.). Twenty-Fourth Annual International Conference on Machine Learning (ICML 2007), Corvallis, OR, USA, June 20, 2007 - June 24, 2007. ACM Press, New York, NY, USA (2007)
47.
Conference Paper
Supervised Feature Selection via Dependence Estimation. In: ICML '07: 24th International Conference on Machine Learning, pp. 823 - 830 (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)
48.
Conference Paper
Fast Kernel ICA using an Approximate Newton Method. In: Artificial Intelligence and Statistics, 21-24 March 2007, San Juan, Puerto Rico, pp. 476 - 483 (Eds. Meila, M.; shen, X.). 11th International Conference on Artificial Intelligence and Statistics (AISTATS 2007), San Juan, Puerto Rico, March 21, 2007 - March 24, 2007. International Machine Learning Society, Madison, WI, USA (2007)
49.
Conference Paper
22 (14), pp. e49 - e57 (2006)
Integrating Structured Biological data by Kernel Maximum Mean Discrepancy. 14th International Conference on Intelligent Systems for Molecular Biology (ISMB 2006), Fortaleza, Brazil, August 06, 2006 - August 10, 2006. Bioinformatics 50.
Conference Paper
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)
Statistical Convergence of Kernel CCA. In: Advances in Neural Information Processing Systems 18: Proceedings of the 2005 Conference, pp. 387 - 394 (Eds. Weiss, Y.; 51.
Conference Paper
Kernel ICA for Large Scale Problems. In: NIPS 2005 Workshop on Large Scale Kernel Machines, p. -. NIPS 2005 Workshop on Large Scale Kernel Machines, Vancouver, BC, Canada. (2005)
52.
Conference Paper
Measuring Statistical Dependence with Hilbert-Schmidt Norms. In: Algorithmic Learning Theory: 16th International Conference, ALT 2005, Singapore, October 8-11, 2005, pp. 63 - 78 (Eds. Jain, S.; Simon, H.; Tomita, E.). 16th International Conference on Algorithmic Learning Theory (ALT 2005), Singapore, October 08, 2005 - October 11, 2005. Springer, Berlin, Germany (2005)
53.
Conference Paper
Kernel Constrained Covariance for Dependence Measurement. In: AISTATS 2005: Tenth International Workshop onArtificial Intelligence and Statistics, pp. 112 - 119 (Eds. Cowell, R.; Ghahramani, Z.). Tenth International Workshop on Artificial Intelligence and Statistics (AI Statistics 2005), Barbados, January 06, 2005 - January 08, 2005. The Society for Artificial Intelligence and Statistics (2005)
54.
Conference Paper
Rasmussen, C.; Bülthoff, H.; Schölkopf, B.; Giese, M.). 26th Annual Symposium of the German Association for Pattern Recognition (DAGM 2004), Tübingen, Germany, August 30, 2004 - September 01, 2004. Springer, Berlin, Germany (2004)
Multivariate Regression via Stiefel Manifold Constraints. In: Pattern Recognition: 26th DAGM Symposium, Tübingen, Germany, August 30 - September 1, 2004, pp. 262 - 269 (Eds. 55.
Conference Paper
Ranking on Data Manifolds. Seventeenth Annual Conference on Neural Information Processing Systems (NIPS 2003), Vancouver, BC, Canada, December 09, 2003 - December 11, 2003. Advances in Neural Information Processing Systems 16, pp. 169 - 176 (2004)
56.
Conference Paper
2, pp. 709 - 712. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2003), Hong Kong, China, April 06, 2003 - April 10, 2003. IEEE, Piscataway, NJ, USA (2003)
On-Line One-Class Support Vector Machines. An Application to Signal Segmentation. In: IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP '03), Vol. 57.
Conference Paper
4, pp. 880 - 883. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2003), Hong Kong, China, April 06, 2003 - April 10, 2003. IEEE, Piscataway, NJ, USA (2003)
The Kernel Mutual Information. In: IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP '03), Vol. 58.
Conference Paper
Support Vector Regression for Black-Box System Identification. In: 11th IEEE Workshop on Statistical Signal Processing, pp. 341 - 344. 11th IEEE Workshop on Statistical Signal Processing (SSP 2001), Singapore , August 08, 2001. IEEE, Piscataway, NJ, USA (2001)
Meeting Abstract (2)
59.
Meeting Abstract
09401, p. 11 (Eds. Janzing, D.; Lauritzen, B.; Schölkopf, B.). Dagstuhl Seminar: Machine learning approaches to statistical dependences and causality, Schloss Dagstuhl, Germany, September 27, 2009 - October 02, 2009. Schloss Dagstuhl, Leibniz-Zentrum für Informatik, Wadern (2009)
Detecting the direction of causal time series. In Dagstuhl Reports, 60.
Meeting Abstract
Pattern recognition methods in classifying fMRI data. In 9th Conference of the Junior Neuroscientists of Tübingen (NeNa 2008), p. 11. 9th Conference of the Junior Neuroscientists of Tübingen (NeNa 2008), Ellwangen, Germany, October 27, 2008 - October 29, 2008. (2008)