Articles (20): |
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Song L , Smola A  , Gretton A , Bedo J and Borgwardt K (2012) Feature Selection via Dependence Maximization
Journal of Machine Learning Research 13 1393-1434.
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Gretton A , Borgwardt K , Rasch M , Schölkopf B and Smola A (2012) A Kernel Two-Sample Test
Journal of Machine Learning Research 13 723−773.
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Sriperumbudur B , Fukumizu K , Gretton A , Schölkopf B and Lanckriet G (2012) On the Empirical Estimation of Integral Probability Metrics
Electronic Journal of Statistics 6 1550-1599.
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Blaschko MB , Shelton JA , Bartels A , Lampert CH and Gretton A (2011) Semi-supervised kernel canonical correlation analysis with application to human fMRI
Pattern Recognition Letters 32(11) 1572-1583.
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Thoma M , Cheng H , Gretton A , Han J , Kriegel H-P , Smola AJ , Song L , Yu PS , Yan X and Borgwardt KM (2010) Discriminative frequent subgraph mining with optimality guarantees
Journal of Statistical Analysis and Data Mining 3(5) 302–318.
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Biessmann F , Meinecke FC , Gretton A , Rauch A , Rainer G , Logothetis NK and Müller K-R (2010) Temporal Kernel CCA and its Application in Multimodal Neuronal Data Analysis
Machine Learning 79(1-2) 5-27.
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Sriperumbudur BK , Gretton A , Fukumizu K , Schölkopf B and Lanckriet GRG (2010) Hilbert Space Embeddings and Metrics on Probability Measures
Journal of Machine Learning Research 11 1517-1561.
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Gretton A and Györfi L (2010) Consistent Nonparametric Tests of Independence
Journal of Machine Learning Research 11 1391--1423.
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Shen H , Jegelka S and Gretton A (2009) Fast Kernel-Based Independent Component Analysis
IEEE Transactions on Signal Processing 57(9) 3498-3511.
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Gretton A , Fukumizu K and Sriperumbudur B (2009) Discussion of: Brownian Distance Covariance
The Annals of Applied Statistics 3(4) 1285--1294.
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Ku S-P , Gretton A , Macke J and Logothetis NK (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.
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Belitski A , Gretton A , Magri C , Murayama Y , Montemurro MA , Logothetis NK and Panzeri S (2008) Low-frequency Local Field Potentials and Spikes in Primary Visual Cortex Convey Independent Visual Information
Journal of Neuroscience 28(22) 5696-5709.
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Rasch MJ , Gretton A , Murayama Y , Maass W and Logothetis NK (2008) Inferring Spike Trains From Local Field Potentials
Journal of Neurophysiology 99(3) 1461-1476.
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Song L , Bedo J , Borgwardt KM , Gretton A and Smola A (2007) Gene selection via the BAHSIC family of algorithms
Bioinformatics 23(13: ISMB/ECCB 2007 Conference Proceedings) i490-i498.
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Fukumizu K , Bach FR and Gretton A (2007) Statistical Consistency of Kernel Canonical Correlation Analysis
Journal of Machine Learning Research 8 361-383.
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Davy M , Desobry F , Gretton A and Doncarli C (2006) An Online Support Vector Machine for Abnormal Events Detection
Signal Processing 86(8) 2009-2025.
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Borgwardt KM , Gretton A , Rasch M , Kriegel H-P , Schölkopf B and Smola A (2006) Integrating Structured Biological data by Kernel Maximum Mean Discrepancy
Bioinformatics 22(4: ISMB 2006 Conference Proceedings) e49-e57.
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Gretton A , Belitski A , Murayama Y , Schölkopf B and Logothetis NK (2006) The Effect of Artifacts on Dependence Measurement in fMRI
Magnetic Resonance Imaging 24(4) 401-409.
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Gretton A , Herbrich R , Smola A , Bousquet O and Schölkopf B (2005) Kernel Methods for Measuring Independence
Journal of Machine Learning Research 6 2075-2129.
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Davy M , Gretton A , Doucet A and Rayner PJW (2002) Optimized Support Vector Machines for Nonstationary Signal Classification
IEEE Signal Processing Letters 9(12) 442-445.
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Conference papers (47): |
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Grünewälder S , Lever G , Baldassarre L , Patterson S , Gretton A and Pontil M (2012) Conditional mean embeddings as regressors
In: Proceedings of the 29th International Conference on Machine Learning, (Ed) J Langford and J Pineau, ICML 2012, Omnipress, New York, NY, USA, 1823--1830.
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Nishiyama Y , Boularias A , Gretton A and Fukumizu K (2012) Hilbert Space Embeddings of POMDPs
Conference on Uncertainty in Artificial Intelligence (UAI 2012).
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Sejdinovic D , Gretton A , Sriperumbudur B and Fukumizu K (2012) Hypothesis testing using pairwise distances and associated kernels
In: Proceedings of the 29th International Conference on Machine Learning, (Ed) J Langford and J Pineau, ICML 2012, Omnipress, New York, NY, USA, 1111--1118.
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Grünewälder S , Lever G , Baldassarre Ll , Pontil M and Gretton A (2012) Modelling transition dynamics in MDPs with RKHS embeddings
In: Proceedings of the 29th International Conference on Machine Learning, (Ed) J Langford and J Pineau, ICML 2012, Omnipress, New York, NY, USA, 535--542.
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Gretton A , Sriperumbudur B , Sejdinovic D , Strathmann H , Balakrishnan S , Pontil M and Fukumizu K (2012) Optimal kernel choice for large-scale two-sample tests
In: Advances in Neural Information Processing Systems 25, (Ed) P Bartlett, FCN Pereira, CJC. Burges, L Bottou and KQ Weinberger, 26th Annual Conference on Neural Information Processing Systems (NIPS 2012), 1214--1222.
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Fukumizu K , Song L and Gretton A (2011) Kernel Bayes' Rule
In: Advances in Neural Information Processing Systems 24, (Ed) J Shawe-Taylor, RS Zemel, P Bartlett, F Pereira and KQ Weinberger, Twenty-Fifth Annual Conference on Neural Information Processing Systems (NIPS 2011), Curran Associates, Inc., Red Hook, NY, USA, 1737-1745.
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Song L , Gretton A , Bickson D , Low Y and Guestrin C (2011) Kernel Belief Propagation
In: Proceedings of the 14th International Conference on Artificial Intelligence and Statistics, Vol. 15, (Ed) G Gordon, D Dunson and M Dudík, AISTATS 2011, JMLR, 707-715.
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Gonzalez J , Low Y , Gretton A and Guestrin C (2011) Parallel Gibbs Sampling: From Colored Fields to Thin Junction Trees
In: Proceedings of the 14th International Conference on Artificial Intelligence and Statistics, Vol. 15, (Ed) G Gordon, D Dunson and M Dudík, AISTATS 2011, JMLR, 324-332.
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Sriperumbudur BK , Fukumizu K , Gretton A , Schölkopf B and Lanckriet GRG (2010) Non-parametric estimation of integral probability metrics
IEEE International Symposium on Information Theory (ISIT 2010), IEEE, Piscataway, NJ, USA, 1428-1432.
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Danafar S , Gretton A and Schmidhuber J (2010) Characteristic Kernels on Structured Domains Excel in Robotics and Human Action Recognition
In: Machine Learning and Knowledge Discovery in Databases, LNCS Vol. 6321, (Ed) JL Balcázar, F Bonchi, A Gionis and M Sebag, ECML PKDD 2010, Springer, Berlin, Germany, 264--279.
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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, (Ed) A Fink, B Lausen, W Seidel and A Ultsch, 32nd Annual Conference of the Gesellschaft für Klassifikation e.V. (GfKl 2008), Springer, Berlin, Germany, 57-66.
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Song L , Gretton A and Guestrin C (2010) Nonparametric Tree Graphical Models
In: Proceedings of the 13th International Conference on Artificial Intelligence and Statistics, Volume 9, (Ed) YW Teh and M Titterington, AISTATS 2010, JMLR, 765--772.
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Jegelka S , Gretton A , Schölkopf B , Sriperumbudur BK and von Luxburg U (2009) Generalized Clustering via Kernel Embeddings
In: KI 2009: AI and Automation, Lecture Notes in Computer Science, Vol. 5803, (Ed) B Mertsching, M Hund and Z Aziz, 32nd Annual Conference on Artificial Intelligence (KI), Springer, Berlin, Germany, 144-152.
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Fukumizu K , Sriperumbudur BK , Gretton A and Schölkopf B (2009) Characteristic Kernels on Groups and Semigroups
In: Advances in neural information processing systems 21, (Ed) D Koller, D Schuurmans, Y Bengio and L Bottou, 22nd Annual Conference on Neural Information Processing Systems (NIPS 2008), Curran, Red Hook, NY, USA, 473-480.
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Peters J , Janzing D , Gretton A and Schölkopf B (2009) Detecting the Direction of Causal Time Series
In: Proceedings of the 26th International Conference on Machine Learning, (Ed) A Danyluk, L Bottou and ML Littman, ICML 2009, ACM Press, New York, NY, USA, 801-808.
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Zhang X , Song L , Gretton A and Smola A (2009) Kernel Measures of Independence for Non-IID Data
In: Advances in neural information processing systems 21, (Ed) Koller, D. , D. Schuurmans, Y. Bengio, L. Bottou, Twenty-Second Annual Conference on Neural Information Processing Systems (NIPS 2008), Curran, Red Hook, NY, USA, 1937-1944.
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Blaschko MB and Gretton A (2009) Learning Taxonomies by Dependence Maximization
In: Advances in neural information processing systems 21, (Ed) Koller, D. , D. Schuurmans, Y. Bengio, L. Bottou, Twenty-Second Annual Conference on Neural Information Processing Systems (NIPS 2008), Curran, Red Hook, NY, USA, 153-160.
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Thoma M , Cheng H , Gretton A , Han J , Kriegel H-P , Smola AJ , Song L , Yu PS , Yan X and Borgwardt KM (2009) Near-optimal supervised feature selection among frequent subgraphs
(Ed) Park, H. , S. Parthasarathy, H. Liu, 9th SIAM Conference on Data Mining (SDM 2009), Philadelphia, PA, USA, Society for Industrial and Applied Mathematics, 1076-1087.
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Gretton A , Fukumizu K , Harchaoui Z and Sriperumbudur BK (2009) A Fast, Consistent Kernel Two-Sample Test
In: Advances in Neural Information Processing Systems 22, (Ed) Bengio, Y. , D. Schuurmans, J. Lafferty, C. Williams, A. Culotta, 23rd Annual Conference on Neural Information Processing Systems (NIPS 2009), Curran, Red Hook, NY, USA, 673-681.
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Sriperumbudur BK , Fukumizu K , Gretton A , Lanckriet GRG and Schölkopf B (2009) Kernel Choice and Classifiability for RKHS Embeddings of Probability Distributions
In: Advances in Neural Information Processing Systems 22, (Ed) Y Bengio, D Schuurmans, J Lafferty, C Williams and A Culotta, 23rd Annual Conference on Neural Information Processing Systems (NIPS 2009), Curran, Red Hook, NY, USA, 1750-1758.
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Tillman RE , Gretton A and Spirtes P (2009) Nonlinear directed acyclic structure learning with weakly additive noise models
In: Advances in Neural Information Processing Systems 22, (Ed) Bengio, Y. , D. Schuurmans, J. Lafferty, C. Williams, A. Culotta, 23rd Annual Conference on Neural Information Processing Systems (NIPS 2009), Curran, Red Hook, NY, USA, 1847-1855.
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Gretton A and Györfi L (2008) Nonparametric Independence Tests: Space
Partitioning and Kernel Approaches
In: ALT08, (Ed) Freund, Y. , L. Györfi, G. Turán, T. Zeugmann, 19th International Conference on Algorithmic Learning Theory (ALT08), Springer, Berlin, Germany, 183-198.
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Gretton A , Fukumizu K , Teo CH , Song L , Schölkopf B and Smola AJ (2008) A Kernel Statistical Test of Independence
In: Advances in neural information processing systems 20, (Ed) JC Platt, D Koller, Y Singer and S Roweis, 21st Annual Conference on Neural Information Processing Systems (NIPS 2007), Curran, Red Hook, NY, USA, 585-592.
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Song L , Smola AJ , Borgwardt K and Gretton A (2008) Colored Maximum Variance Unfolding
In: Advances in neural information processing systems 20, (Ed) Platt, J. C., D. Koller, Y. Singer, S. Roweis, Twenty-First Annual Conference on Neural Information Processing Systems (NIPS 2007), Curran, Red Hook, NY, USA, 1385-1392.
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Fukumizu K , Gretton A , Sun X and Schölkopf B (2008) Kernel Measures of Conditional Dependence
In: Advances in neural information processing systems 20, (Ed) JC Platt, D Koller, Y Singer and S Roweis, 21st Annual Conference on Neural Information Processing Systems (NIPS 2007), Curran, Red Hook, NY, USA, 489-496.
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Schölkopf B , Sriperumbudur BK , Gretton A and Fukumizu K (2008) RKHS Representation of Measures Applied to Homogeneity, Independence, and Fourier Optics
In: OWR 2008, (Ed) K Jetter, S Smale and D-X Zhou, 30. Oberwolfach Report, Mathematisches Forschungsinstitut, Oberwolfach-Walke, Germany, 42-44.
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Blaschko MB , Lampert CH and Gretton A (2008) Semi-Supervised Laplacian Regularization of Kernel Canonical Correlation Analysis
In: ECML PKDD 2008, (Ed) Daelemans, W. , B. Goethals, K. Morik, 19th European Conference on Machine Learning, Springer, Berlin, Germany, 133-145.
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Blaschko MB and Gretton A (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.
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Sriperumbudur BK , Gretton A , Fukumizu K , Lanckriet G and Schölkopf B (2008) Injective Hilbert Space Embeddings of Probability Measures
In: Proceedings of the 21st Annual Conference on Learning Theory, (Ed) RA Servedio and T Zhang, 21st Annual Conference on Learning Theory (COLT 2008), Omnipress, Madison, WI, USA, 111-122.
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Song L , Zhang X , Smola A , Gretton A and Schölkopf B (2008) Tailoring density estimation via reproducing kernel moment matching
In: Proceedings of the 25th International Conference on
Machine Learning, (Ed) WW Cohen, A McCallum and S Roweis, 25th ICML 2008, ACM Press, New York, NY, USA, 992-999.
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arthur.gretton
