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Dr. Arthur Gretton

Address:	Spemannstr. 38 72076 Tübingen
Room number:	204
Phone:	+49 7071 601 562
Fax:	+49 7071 601 552
E-Mail:	arthur.gretton

Arthur Gretton

Position: Research Scientist Unit: Schölkopf

Publications

Articles (14):
•	Blaschko MB , Shelton JA , Bartels A , Lampert CH and Gretton A (August-2011) Semi-supervised kernel canonical correlation analysis with application to human fMRI Pattern Recognition Letters 32(11) 1572-1583.
•	Biessmann F , Meinecke FC , Gretton A , Rauch A , Rainer G , Logothetis NK and Müller K-R (May-2010) Temporal Kernel CCA and its Application in Multimodal Neuronal Data Analysis Machine Learning 79(1-2) 5-27.
•	Sriperumbudur BK , Gretton A , Fukumizu K , Schölkopf B and Lanckriet GRG (April-2010) Hilbert Space Embeddings and Metrics on Probability Measures Journal of Machine Learning Research 11 1517-1561.
•	Shen H , Jegelka S and Gretton A (September-2009) Fast Kernel-Based Independent Component Analysis IEEE Transactions on Signal Processing 57(9) 3498-3511.
•	Ku S-P , Gretton A , Macke J and Logothetis NK (September-2008) Comparison of Pattern Recognition Methods in Classifying High-resolution BOLD Signals Obtained at High Magnetic Field in Monkeys Magnetic Resonance Imaging 26(7) 1007-1014.
•	Belitski A , Gretton A , Magri C , Murayama Y , Montemurro MA , Logothetis NK and Panzeri S (May-2008) Low-frequency Local Field Potentials and Spikes in Primary Visual Cortex Convey Independent Visual Information Journal of Neuroscience 28(22) 5696-5709.
•	Rasch MJ , Gretton A , Murayama Y , Maass W and Logothetis NK (March-2008) Inferring Spike Trains From Local Field Potentials Journal of Neurophysiology 99(3) 1461-1476.
•	Song L , Bedo J , Borgwardt KM , Gretton A and Smola A (July-2007) Gene selection via the BAHSIC family of algorithms Bioinformatics 23(13) i490-i498.
•	Fukumizu K , Bach FR and Gretton A (February-2007) Statistical Consistency of Kernel Canonical Correlation Analysis Journal of Machine Learning Research 8 361-383.
•	Davy M , Desobry F , Gretton A and Doncarli C (August-2006) An Online Support Vector Machine for Abnormal Events Detection Signal Processing 86(8) 2009-2025.
•	Borgwardt K , Gretton A , Rasch M , Kriegel H-P , Schölkopf B and Smola A (August-2006) Integrating Structured Biological data by Kernel Maximum Mean Discrepancy Bioinformatics 22(4) e49-e57.
•	Gretton A , Belitski A , Murayama Y , Schölkopf B and Logothetis NK (April-2006) The Effect of Artifacts on Dependence Measurement in fMRI Magnetic Resonance Imaging 24(4) 401-409.
•	Gretton A , Herbrich R , Smola A , Bousquet O and Schölkopf B (December-2005) Kernel Methods for Measuring Independence Journal of Machine Learning Research 6 2075-2129.
•	Davy M , Gretton A , Doucet A and Rayner PJW (December-2002) Optimized Support Vector Machines for Nonstationary Signal Classification IEEE Signal Processing Letters 9(12) 442-445.
Conference papers (37):
•	Sriperumbudur BK , Fukumizu K , Gretton A , Schölkopf B and Lanckriet GRG (June-2010) Non-parametric estimation of integral probability metrics IEEE International Symposium on Information Theory (ISIT 2010), IEEE, Piscataway, NJ, USA, 1428-1432.
•	Gretton A , Fukumizu K , Harchaoui Z and Sriperumbudur BK (April-2010) A Fast, Consistent Kernel Two-Sample Test In: Advances in Neural Information Processing Systems 22, 23rd Annual Conference on Neural Information Processing Systems (NIPS 2009), Curran, Red Hook, NY, USA, 673-681.
•	Sriperumbudur BK , Fukumizu K , Gretton A , Lanckriet GRG and Schölkopf B (April-2010) Kernel Choice and Classifiability for RKHS Embeddings of Probability Distributions In: Advances in Neural Information Processing Systems 22, 23rd Annual Conference on Neural Information Processing Systems (NIPS 2009), Curran, Red Hook, NY, USA, 1750-1758.
•	Tillman RE , Gretton A and Spirtes P (April-2010) Nonlinear directed acyclic structure learning with weakly additive noise models In: Advances in Neural Information Processing Systems 22, 23rd Annual Conference on Neural Information Processing Systems (NIPS 2009), Curran, Red Hook, NY, USA, 1847-1855.
•	Peters J , Janzing D , Gretton A and Schölkopf B (2010) Kernel Methods for Detecting the Direction of Time Series In: Advances in Data Analysis, Data Handling and Business Intelligence, 32nd Annual Conference of the Gesellschaft für Klassifikation e.V. (GfKl 2008), Springer, Berlin, Germany, 57-66.
•	Jegelka S , Gretton A , Schölkopf B , Sriperumbudur BK and von Luxburg U (September-2009) Generalized Clustering via Kernel Embeddings In: KI 2009: AI and Automation, 32nd Annual Conference on Artificial Intelligence (KI), Springer, Berlin, Germany, 144-152.
•	Fukumizu K , Sriperumbudur BK , Gretton A and Schölkopf B (June-2009) Characteristic Kernels on Groups and Semigroups In: Advances in neural information processing systems 21, Twenty-Second Annual Conference on Neural Information Processing Systems (NIPS 2008), Curran, Red Hook, NY, USA, 473-480.
•	Peters J , Janzing D , Gretton A and Schölkopf B (June-2009) Detecting the Direction of Causal Time Series In: ICML 2009, 26th International Conference on Machine Learning, ACM Press, New York, NY, USA, 801-808.
•	Zhang X , Song L , Gretton A and Smola A (June-2009) Kernel Measures of Independence for Non-IID Data In: Advances in neural information processing systems 21, Twenty-Second Annual Conference on Neural Information Processing Systems (NIPS 2008), Curran, Red Hook, NY, USA, 1937-1944.
•	Blaschko MB and Gretton A (June-2009) Learning Taxonomies by Dependence Maximization In: Advances in neural information processing systems 21, Twenty-Second Annual Conference on Neural Information Processing Systems (NIPS 2008), Curran, Red Hook, NY, USA, 153-160.
•	Thoma M , Cheng H , Gretton A , Han J , Kriegel H-P , Smola AJ , Song L , Yu PS , Yan X and Borgwardt KM (May-2009) Near-optimal supervised feature selection among frequent subgraphs In: SDM 2009, 2009 SIAM Conference on Data Mining, Philadelphia, PA, USA, Society for Industrial and Applied Mathematics, 1076-1087.
•	Gretton A and Györfi L (October-2008) Nonparametric Independence Tests: Space Partitioning and Kernel Approaches In: ALT08, 19th International Conference on Algorithmic Learning Theory (ALT08), Springer, Berlin, Germany, 183-198.
•	Gretton A , Fukumizu K , Teo CH , Song L , Schölkopf B and Smola AJ (September-2008) A Kernel Statistical Test of Independence In: Advances in neural information processing systems 20, Twenty-First Annual Conference on Neural Information Processing Systems (NIPS 2007), Curran, Red Hook, NY, USA, 585-592.
•	Song L , Smola AJ , Borgwardt K and Gretton A (September-2008) Colored Maximum Variance Unfolding In: Advances in neural information processing systems 20, Twenty-First Annual Conference on Neural Information Processing Systems (NIPS 2007), Curran, Red Hook, NY, USA, 1385-1392.
•	Fukumizu K , Gretton A , Sun X and Schölkopf B (September-2008) Kernel Measures of Conditional Dependence In: Advances in neural information processing systems 20, Twenty-First Annual Conference on Neural Information Processing Systems (NIPS 2007), Curran, Red Hook, NY, USA, 489-496.
•	Schölkopf B , Sriperumbudur BK , Gretton A and Fukumizu K (August-2008) RKHS Representation of Measures Applied to Homogeneity, Independence, and Fourier Optics In: OWR 2008, 30. Oberwolfach Report, Mathematisches Forschungsinstitut, Oberwolfach-Walke, Germany, 42-44.
•	Blaschko MB , Lampert CH and Gretton A (August-2008) Semi-Supervised Laplacian Regularization of Kernel Canonical Correlation Analysis In: ECML PKDD 2008, 19th European Conference on Machine Learning, Springer, Berlin, Germany, 133-145.
•	Blaschko MB and Gretton A (July-2008) A Hilbert-Schmidt Dependence Maximization Approach to Unsupervised Structure Discovery In: MLG 2008, 6th International Workshop on Mining and Learning with Graphs, 1-3.
•	Sriperumbudur BK , Gretton A , Fukumizu K , Lanckriet G and Schölkopf B (July-2008) Injective Hilbert Space Embeddings of Probability Measures In: COLT 2008, 21st Annual Conference on Learning Theory, Omnipress, Madison, WI, USA, 111-122.
•	Song L , Zhang X , Smola A , Gretton A and Schölkopf B (July-2008) Tailoring density estimation via reproducing kernel moment matching In: ICML 2008, 25th International Conference on Machine Learning, ACM Press, New York, NY, USA, 992-999.
•	Smola A , Gretton A , Song L and Schölkopf B (October-2007) A Hilbert Space Embedding for Distributions In: ALT 2007, 18th International Conference on Algorithmic Learning Theory, Springer, Berlin, Germany, 13-31.
•	Gretton A , Borgwardt KM , Rasch M , Schölkopf B and Smola A (September-2007) A Kernel Method for the Two-Sample-Problem In: Advances in Neural Information Processing Systems 19, Twentieth Annual Conference on Neural Information Processing Systems (NIPS 2006), MIT Press, Cambridge, MA, USA, 513-520.
•	Huang J , Smola A , Gretton A , Borgwardt KM and Schölkopf B (September-2007) Correcting Sample Selection Bias by Unlabeled Data In: Advances in Neural Information Processing Systems 19, Twentieth Annual Conference on Neural Information Processing Systems (NIPS 2006), MIT Press, Cambridge, MA, USA, 601-608.
•	Gretton A , Borgwardt KM , Rasch M , Schölkopf B and Smola AJ (July-2007) A Kernel Approach to Comparing Distributions In: AAAI-07, Twenty-Second AAAI Conference on Artificial Intelligence, AAAI Press, Menlo Park, CA, USA, 1637-1641.
•	Song L , Smola AJ , Gretton A and Borgwardt KM (June-2007) A Dependence Maximization View of Clustering In: ICML 2007, 24th Annual International Conference on Machine Learning, ACM Press, New York, NY, USA, 815-822.
•	Song L , Smola AJ , Gretton A , Borgwardt KM and Bedo J (June-2007) Supervised Feature Selection via Dependence Estimation In: ICML 2007, 24th Annual International Conference on Machine Learning, ACM Press, New York, NY, USA, 823-830.
•	Shen H , Jegelka S and Gretton A (March-2007) Fast Kernel ICA using an Approximate Newton Method In: AISTATS 2007, 11th International Conference on Artificial Intelligence and Statistics, Microtome, Brookline, MA, USA, 476-483.
•	Fukumizu K , Bach F and Gretton A (May-2006) Statistical Convergence of Kernel CCA In: Advances in neural information processing systems 18, Nineteenth Annual Conference on Neural Information Processing Systems (NIPS 2005), MIT Press, Cambridge, MA, USA, 387-394.
•	Jegelka S , Gretton A and Achlioptas D (December-2005) Kernel ICA for Large Scale Problems NIPS 2005 Workshop on Large Scale Kernel Machines, -.
•	Gretton A , Bousquet O , Smola A and Schoelkopf B (October-8-2005) Measuring Statistical Dependence with Hilbert-Schmidt Norms In: Algorithmic Learning Theory: 16th International Conference, ALT 2005, ALT 2005, 63-78.
•	Gretton A , Smola AJ , Bousquet O , Herbrich R , Belitski A , Augath M , Murayama Y , Pauls J , Schölkopf B and Logothetis NK (January-2005) Kernel Constrained Covariance for Dependence Measurement AISTATS 2005, 10, 1-8.
•	Zhou D , Weston J , Gretton A , Bousquet O and Schölkopf B (June-2004) Ranking on Data Manifolds In: Advances in neural information processing systems 16, Seventeenth Annual Conference on Neural Information Processing Systems (NIPS 2003), MIT Press, Cambridge, MA, USA, 169-176.
•	BakIr G , Gretton A , Franz M and Schölkopf B (2004) Multivariate Regression via Stiefel Manifold Constraints DAGM 2004, Springer, Berlin, Germany, 262-269.
•	Gretton A and Desobry (April-2003) On-Line One-Class Support Vector Machines. An Application to Signal Segmentation In: IEEE ICASSP Vol. 2, IEEE ICASSP, 709-712.
•	Gretton A , Herbrich R and Smola A (April-2003) The Kernel Mutual Information IEEE ICASSP, 880-883.
•	Gretton A , Davy M , Doucet A and Rayner PJW (2001) Nonstationary Signal Classification using Support Vector Machines 11th IEEE Workshop on Statistical Signal Processing, 305-305.