Publications of A Gretton

Meeting Abstract (2)

61.
Meeting Abstract
Ku, S.-P.; Gretton, A.; Macke, J.; Logothetis, N.: 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)

Talk (7)

62.
Talk
Gretton, A.: Covariate Shift by Kernel Mean Matching. NIPS 2009 Workshop on Transfer Learning for Structured Data (TLSD-09), Whistler, BC, Canada (2009)
63.
Talk
Cortes, C.; Gretton, A.; Lanckriet, G.; Mohri, M.; Rostamizadeh, A.: Kernel Learning: Automatic Selection of Optimal Kernels. NIPS 2008 Workshop: Kernel Learning: Automatic Selection of Optimal Kernels, Whistler, BC, Canada (2008)
64.
Talk
Gretton, A.: Fundamentals of distribution embedding and characteristic kernels. ICML 2008 Tutorial: Painless embeddings of distributions: the function space view, Helsinki, Finland (2008)
65.
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)
66.
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)
67.
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)
68.
Talk
Gretton, A.: ICA and Kernel Distribution Testing. Machine Learning Summer School (MLSS 2006), Canberra, Australia (2006)

Poster (7)

69.
Poster
Shelton, J.; Blaschko, M.; Gretton, A.; Müller, J.; Fischer, E.; Bartels, A.: Similarities in resting state and feature-driven activity: Non-parametric evaluation of human fMRI. NIPS 2010 Workshop on Learning and Planning from Batch Time Series Data, Whistler, BC, Canada (2010)
70.
Poster
Biessmann, F.; Gretton, A.; Meinecke, F.; Zhang, X.; Rainer, G.; Logothetis, N.; Müller, K.-R.; Rauch, A.: Investigating neurovascular coupling using canonical correlation analysis between pharmacological MRI and electrophysiology. Eighteenth Annual Computational Neuroscience Meeting (CNS*2009), Berlin, Germany (2009)
71.
Poster
Ku, S.-P.; Gretton, A.; Macke, J.; Tolias, A.; Logothetis, N.: Analysis of Pattern Recognition Methods in Classifying Bold Signals in Monkeys at 7-Tesla. AREADNE 2008: Research in Encoding and Decoding of Neural Ensembles, Santorini, Greece (2008)
72.
Poster
Belitski, A.; Gretton, A.; Magri, C.; Murayama, Y.; Montemurro, M.; Logothetis, N.; Panzeri, S.: A time/frequency decomposition of information transmission by LFPs and spikes in the primary visual cortex. 37th Annual Meeting of the Society for Neuroscience (Neuroscience 2007), San Diego, CA, USA (2007)
73.
Poster
Gretton, A.; Belitski, A.; Murayama, Y.; Schölkopf, B.; Logothetis, N.: Kernel methods for dependence testing in LFP-MUA. 35th Annual Meeting of the Society for Neuroscience (Neuroscience 2005), Washington, DC, USA (2005)
74.
Poster
Gretton, A.; Smola, A.; Bousquet, O.; Herbrich, R.; Belitski, A.; Augath, M.; Murayama, Y.; Pauls, J.; Schölkopf, B.; Logothetis, N.: Kernel-based dependence detection in the Macaque visual cortex. Computational and Systems Neuroscience Meeting (COSYNE 2005), Salt Lake City, UT, USA (2005)
75.
Poster
Gretton, A.; Smola, A.; Bousquet, O.; Herbrich, R.; Belitski, A.; Augath, M.; Murayama, Y.; Pauls, J.; Schölkopf, B.; Logothetis, N.: Kernel-based measures of dependence in the Macaque visual cortex. Computational and Systems Neuroscience Meeting (COSYNE 2005), Salt Lake City, UT, USA (2005)

Thesis - PhD (1)

76.
Thesis - PhD
Gretton, A.: Kernel Methods for Classification and Signal Separation. Dissertation, University of Cambridge, Cambridge, UK (2003)

Report (12)

77.
Report
Gretton, A.; Györfi, L.: Consistent Nonparametric Tests of Independence (Technical Report of the Max Planck Institute for Biological Cybernetics, 172). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2009), 35 pp.
78.
Report
Blaschko, M.; Gretton, A.: Taxonomy Inference Using Kernel Dependence Measures (Technical Report of the Max Planck Institute for Biological Cybernetics, 181). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2008), 11 pp.
79.
Report
Gretton, A.; Borgwardt, K.; Rasch, M.; Schölkopf, B.; Smola, A.: A Kernel Method for the Two-sample Problem (Technical Report of the Max Planck Institute for Biological Cybernetics, 157). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2008), 44 pp.
80.
Report
Shen, H.; Jegelka, S.; Gretton, A.: Geometric Analysis of Hilbert Schmidt Independence criterion based ICA contrast function. National ICT Australia (2006)
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