Publications of A Gretton

Smola, A.; Gretton, A.; Song, L.; Schölkopf, B.: A Hilbert Space Embedding for Distributions. In: Algorithmic Learning Theory: 18th International Conference, ALT 2007, Sendai, Japan, October 1-4, 2007, pp. 13 - 31 (Eds. Hutter, M.; Servedio, R.; Takimoto, E.). 18th International Conference on Algorithmic Learning Theory (ALT 2007), Sendai, Japan, October 01, 2007 - October 04, 2007. Springer, Berlin, Germany (2007)

Smola, A.; Gretton, A.; Song, L.; Schölkopf, B.: 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)

Gretton, A.; Borgwardt, K.; Rasch, M.; Schölkopf, B.; Smola, A.: A Kernel Method for the Two-Sample-Problem. In: Advances in Neural Information Processing Systems 19, pp. 513 - 520 (Eds. 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)

Huang, J.; Smola, A.; Gretton, A.; Borgwardt, K.; Schölkopf, B.: Correcting Sample Selection Bias by Unlabeled Data. In: Advances in Neural Information Processing Systems 19, pp. 601 - 608 (Eds. 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)

Gretton, A.; Borgwardt, K.; Rasch, M.; Schölkopf, B.; Smola, A.: 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)

Song, L.; Bedo, J.; Borgwardt, K.; Gretton, A.; Smola, A.: 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 23 (13: ISMB/ECCB 2007 Conference Proceedings), pp. i490 - i498 (2007)

Song, L.; Smola, A.; Gretton, A.; Borgwardt, K.: 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)

Song, L.; Smola, A.; Gretton, A.; Borgwardt, K.; Bedo, J.: 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)

Shen, H.; Jegelka, S.; Gretton, A.: 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)

Borgwardt, K.; Gretton, A.; Rasch, M.; Kriegel, H.-P.; Schölkopf, B.; Smola, A.: 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 22 (14), pp. e49 - e57 (2006)

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)

Jegelka, S.; Gretton, A.; Achlioptas, P.: 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)

Gretton, A.; Bousquet, O.; Smola, A.; Schölkopf, B.: 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)

Gretton, A.; Smola, A.; Bousquet, O.; Herbrich, R.; Belitski, A.; Augath, M.; Murayama, Y.; Pauls, J.; Schölkopf, B.; Logothetis, N.: 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)

BakIr, G.; Gretton, A.; Franz, M.; Schölkopf, B.: Multivariate Regression via Stiefel Manifold Constraints. In: Pattern Recognition: 26th DAGM Symposium, Tübingen, Germany, August 30 - September 1, 2004, pp. 262 - 269 (Eds. 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)

Zhou, D.; Weston, J.; Gretton, A.; Bousquet, O.; Schölkopf, B.: 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)

Gretton, A.; Desobry, F.: 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. 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)

Gretton, A.; Herbrich, R.; Smola, A.: The Kernel Mutual Information. In: IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP '03), Vol. 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)

Gretton, A.; Doucet, A.; Herbrich, R.; Rayner, P.; Schölkopf, B.: 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)

Peters, J.; Janzing, D.; Gretton, A.; Schölkopf, B.: Detecting the direction of causal time series. In Dagstuhl Reports, 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)