Publications of A Gretton
All genres
Journal Article (16)
1.
Journal Article
13, pp. 723 - 773 (2012)
A Kernel Two-Sample Test. Journal of Machine Learning Research 2.
Journal Article
13, pp. 1393 - 1434 (2012)
Feature Selection via Dependence Maximization. Journal of Machine Learning Research 3.
Journal Article
32 (11), pp. 1572 - 1583 (2011)
Semi-supervised kernel canonical correlation analysis with application to human fMRI. Pattern Recognition Letters 4.
Journal Article
3 (5), pp. 302 - 318 (2010)
Discriminative frequent subgraph mining with optimality guarantees. Statistical Analysis and Data Mining 5.
Journal Article
79 (1-2), pp. 5 - 27 (2010)
Temporal Kernel CCA and its Application in Multimodal Neuronal Data Analysis. Machine Learning 6.
Journal Article
11, pp. 1517 - 1561 (2010)
Hilbert Space Embeddings and Metrics on Probability Measures. Journal of Machine Learning Research 7.
Journal Article
3 (4), pp. 1285 - 1294 (2009)
Discussion of: Brownian distance covariance. The Annals of Applied Statistics 8.
Journal Article
57 (9), pp. 3498 - 3511 (2009)
Fast Kernel-Based Independent Component Analysis. IEEE Transactions on Signal Processing 9.
Journal Article
26 (7), pp. 1007 - 1014 (2008)
Comparison of Pattern Recognition Methods in Classifying High-resolution BOLD Signals Obtained at High Magnetic Field in Monkeys. Magnetic Resonance Imaging 10.
Journal Article
28 (22), pp. 5696 - 5709 (2008)
Low-frequency Local Field Potentials and Spikes in Primary Visual Cortex Convey Independent Visual Information. The Journal of Neuroscience 11.
Journal Article
99 (3), pp. 1461 - 1476 (2008)
Inferring Spike Trains From Local Field Potentials. Journal of Neurophysiology 12.
Journal Article
8, pp. 361 - 383 (2007)
Statistical Consistency of Kernel Canonical Correlation Analysis. The Journal of Machine Learning Research 13.
Journal Article
86 (8), pp. 2009 - 2025 (2006)
An Online Support Vector Machine for Abnormal Events Detection. Signal Processing 14.
Journal Article
24 (4), pp. 401 - 409 (2006)
The Effect of Artifacts on Dependence Measurement in fMRI. Magnetic Resonance Imaging 15.
Journal Article
6, pp. 2075 - 2129 (2005)
Kernel Methods for Measuring Independence. The Journal of Machine Learning Research 16.
Journal Article
9 (12), pp. 442 - 445 (2002)
Optimized Support Vector Machines for Nonstationary Signal Classification. IEEE Signal Processing Letters Book Chapter (2)
17.
Book Chapter
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
Chapelle, O.; DeCoste, D.; Weston, J.). MIT Press, Cambridge, MA, USA (2007)
Brisk Kernel ICA. In: Large Scale Kernel Machines, pp. 225 - 250 (Eds. Bottou, L.; Conference Paper (41)
19.
Conference Paper
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
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)