Publications of A Gretton

Journal Article (16)

1.
Journal Article
Gretton, A.; Borgwardt, K.; Rasch, M.; Schölkopf, B.; Smola, A.: A Kernel Two-Sample Test. Journal of Machine Learning Research 13, pp. 723 - 773 (2012)
2.
Journal Article
Song, L.; Smola, A.; Gretton, A.; Bedo, J.; Borgwardt, K.: Feature Selection via Dependence Maximization. Journal of Machine Learning Research 13, pp. 1393 - 1434 (2012)
3.
Journal Article
Blaschko, M.; Shelton, J.; Bartels, A.; Lampert, C.; Gretton, A.: Semi-supervised kernel canonical correlation analysis with application to human fMRI. Pattern Recognition Letters 32 (11), pp. 1572 - 1583 (2011)
4.
Journal Article
Thoma, M.; Cheng, H.; Gretton, A.; Han, J.; Kriegel, H.-P.; Smola, A.; Song, L.; Yu, P.; Yan, X.; Borgwardt, K.: Discriminative frequent subgraph mining with optimality guarantees. Statistical Analysis and Data Mining 3 (5), pp. 302 - 318 (2010)
5.
Journal Article
Biessmann, F.; Meinecke, F.; Gretton, A.; Rauch, A.; Rainer, G.; Logothetis, N.; Müller, K.-R.: Temporal Kernel CCA and its Application in Multimodal Neuronal Data Analysis. Machine Learning 79 (1-2), pp. 5 - 27 (2010)
6.
Journal Article
Sriperumbudur, B.; Gretton, A.; Fukumizu, K.; Schölkopf, B.; Lanckriet, G.: Hilbert Space Embeddings and Metrics on Probability Measures. Journal of Machine Learning Research 11, pp. 1517 - 1561 (2010)
7.
Journal Article
Gretton, A.; Fukumizu, K.; Sriperumbudur, B.: Discussion of: Brownian distance covariance. The Annals of Applied Statistics 3 (4), pp. 1285 - 1294 (2009)
8.
Journal Article
Shen, H.; Jegelka, S.; Gretton, A.: Fast Kernel-Based Independent Component Analysis. IEEE Transactions on Signal Processing 57 (9), pp. 3498 - 3511 (2009)
9.
Journal Article
Ku, S.-P.; Gretton, A.; Macke, J.; Logothetis, N.: Comparison of Pattern Recognition Methods in Classifying High-resolution BOLD Signals Obtained at High Magnetic Field in Monkeys. Magnetic Resonance Imaging 26 (7), pp. 1007 - 1014 (2008)
10.
Journal Article
Belitski, A.; Gretton, A.; Magri, C.; Murayama, Y.; Montemurro, M.; Logothetis, N.; Panzeri, S.: Low-frequency Local Field Potentials and Spikes in Primary Visual Cortex Convey Independent Visual Information. The Journal of Neuroscience 28 (22), pp. 5696 - 5709 (2008)
11.
Journal Article
Rasch, M.; Gretton, A.; Murayama, Y.; Maass, W.; Logothetis, N.: Inferring Spike Trains From Local Field Potentials. Journal of Neurophysiology 99 (3), pp. 1461 - 1476 (2008)
12.
Journal Article
Fukumizu, K.; Bach, F.; Gretton, A.: Statistical Consistency of Kernel Canonical Correlation Analysis. The Journal of Machine Learning Research 8, pp. 361 - 383 (2007)
13.
Journal Article
Davy, M.; Desodry, F.; Gretton, A.; Doncarli, C.: An Online Support Vector Machine for Abnormal Events Detection. Signal Processing 86 (8), pp. 2009 - 2025 (2006)
14.
Journal Article
Gretton, A.; Belitski, A.; Murayama, Y.; Schölkopf, B.; Logothetis, N.: The Effect of Artifacts on Dependence Measurement in fMRI. Magnetic Resonance Imaging 24 (4), pp. 401 - 409 (2006)
15.
Journal Article
Gretton, A.; Herbrich, R.; Smola, A.; Bousquet, O.; Schölkopf, B.: Kernel Methods for Measuring Independence. The Journal of Machine Learning Research 6, pp. 2075 - 2129 (2005)
16.
Journal Article
Davy, M.; Gretton, A.; Doucet, A.; Rayner, P.: Optimized Support Vector Machines for Nonstationary Signal Classification. IEEE Signal Processing Letters 9 (12), pp. 442 - 445 (2002)

Book Chapter (2)

17.
Book Chapter
Gretton, A.; Smola, A.; Huang, J.; Schmittfull, M.; Borgwardt, K.; Schölkopf, B.: Covariate Shift by Kernel Mean Matching. In: Dataset Shift in Machine Learning, 8, pp. 131 - 160 (Eds. Quiñonero-Candela, J.; Sugiyama, M.; Schwaighofer, A.; Lawrence, N.). MIT Press, Cambridge, MA, USA (2009)
18.
Book Chapter
Jegelka, S.; Gretton, A.: Brisk Kernel ICA. In: Large Scale Kernel Machines, pp. 225 - 250 (Eds. Bottou, L.; Chapelle, O.; DeCoste, D.; Weston, J.). MIT Press, Cambridge, MA, USA (2007)

Conference Paper (41)

19.
Conference Paper
Danafar, S.; Gretton, A.; Schmidhuber, J.: Characteristic Kernels on Structured Domains Excel in Robotics and Human Action Recognition. In: ECML PKDD: Joint European Conference on Machine Learning and Knowledge Discovery in Databases: Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2010, Barcelona, Spain, September 20-24, 2010, pp. 264 - 279 (Eds. Balcázar, J.; Bonchi, F.; Gionis, A.; Sebag, M.). Joint European Conference on Machine Learning and Knowledge Discovery in Databases (ECML PKKD 2010), Barcelona, Spain, September 20, 2010 - September 24, 2010. Springer, Berlin, Germany (2010)
20.
Conference Paper
Sriperumbudur, B.; Fukumizu, K.; Gretton, A.; Schölkopf, B.; Lanckriet, G.: Non-parametric estimation of integral probability metrics. In: IEEE International Symposium on Information Theory (ISIT 2010), pp. 1428 - 1432. IEEE International Symposium on Information Theory (ISIT 2010), Austin, TX, USA, June 13, 2010 - June 18, 2010. IEEE, Piscataway, NJ, USA (2010)
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