2009 |
28 | EE | Bharath K. Sriperumbudur,
Arthur Gretton,
Kenji Fukumizu,
Gert R. G. Lanckriet,
Bernhard Schölkopf:
A note on integral probability metrics and $\phi$-divergences
CoRR abs/0901.2698: (2009) |
2008 |
27 | EE | Arthur Gretton,
László Györfi:
Nonparametric Independence Tests: Space Partitioning and Kernel Approaches.
ALT 2008: 183-198 |
26 | EE | Bharath K. Sriperumbudur,
Arthur Gretton,
Kenji Fukumizu,
Gert R. G. Lanckriet,
Bernhard Shoelkopf:
Injective Hilbert Space Embeddings of Probability Measures.
COLT 2008: 111-122 |
25 | EE | Matthew B. Blaschko,
Christoph H. Lampert,
Arthur Gretton:
Semi-supervised Laplacian Regularization of Kernel Canonical Correlation Analysis.
ECML/PKDD (1) 2008: 133-145 |
24 | EE | Le Song,
Xinhua Zhang,
Alex J. Smola,
Arthur Gretton,
Bernhard Schölkopf:
Tailoring density estimation via reproducing kernel moment matching.
ICML 2008: 992-999 |
23 | EE | Matthew B. Blaschko,
Arthur Gretton:
Learning Taxonomies by Dependence Maximization.
NIPS 2008: 153-160 |
22 | EE | Xinhua Zhang,
Le Song,
Arthur Gretton,
Alex J. Smola:
Kernel Measures of Independence for non-iid Data.
NIPS 2008: 1937-1944 |
21 | EE | Kenji Fukumizu,
Bharath K. Sriperumbudur,
Arthur Gretton,
Bernhard Schölkopf:
Characteristic Kernels on Groups and Semigroups.
NIPS 2008: 473-480 |
20 | EE | Arthur Gretton,
Karsten M. Borgwardt,
Malte J. Rasch,
Bernhard Schölkopf,
Alexander J. Smola:
A Kernel Method for the Two-Sample Problem
CoRR abs/0805.2368: (2008) |
2007 |
19 | | Arthur Gretton,
Karsten M. Borgwardt,
Malte J. Rasch,
Bernhard Schölkopf,
Alexander J. Smola:
A Kernel Approach to Comparing Distributions.
AAAI 2007: 1637-1641 |
18 | EE | Alex J. Smola,
Arthur Gretton,
Le Song,
Bernhard Schölkopf:
A Hilbert Space Embedding for Distributions.
ALT 2007: 13-31 |
17 | EE | Alexander J. Smola,
Arthur Gretton,
Le Song,
Bernhard Schölkopf:
A Hilbert Space Embedding for Distributions.
Discovery Science 2007: 40-41 |
16 | EE | Le Song,
Alexander J. Smola,
Arthur Gretton,
Karsten M. Borgwardt:
A dependence maximization view of clustering.
ICML 2007: 815-822 |
15 | EE | Le Song,
Alex J. Smola,
Arthur Gretton,
Karsten M. Borgwardt,
Justin Bedo:
Supervised feature selection via dependence estimation.
ICML 2007: 823-830 |
14 | EE | Le Song,
Justin Bedo,
Karsten M. Borgwardt,
Arthur Gretton,
Alexander J. Smola:
Gene selection via the BAHSIC family of algorithms.
ISMB/ECCB (Supplement of Bioinformatics) 2007: 490-498 |
13 | EE | Arthur Gretton,
Kenji Fukumizu,
Choon Hui Teo,
Le Song,
Bernhard Schölkopf,
Alex J. Smola:
A Kernel Statistical Test of Independence.
NIPS 2007 |
12 | EE | Le Song,
Alex J. Smola,
Karsten M. Borgwardt,
Arthur Gretton:
Colored Maximum Variance Unfolding.
NIPS 2007 |
11 | EE | Kenji Fukumizu,
Arthur Gretton,
Xiaohai Sun,
Bernhard Schölkopf:
Kernel Measures of Conditional Dependence.
NIPS 2007 |
10 | EE | Le Song,
Alexander J. Smola,
Arthur Gretton,
Karsten M. Borgwardt,
Justin Bedo:
Supervised Feature Selection via Dependence Estimation
CoRR abs/0704.2668: (2007) |
2006 |
9 | EE | Karsten M. Borgwardt,
Arthur Gretton,
Malte J. Rasch,
Hans-Peter Kriegel,
Bernhard Schölkopf,
Alexander J. Smola:
Integrating structured biological data by Kernel Maximum Mean Discrepancy.
ISMB (Supplement of Bioinformatics) 2006: 49-57 |
8 | EE | Arthur Gretton,
Karsten M. Borgwardt,
Malte J. Rasch,
Bernhard Schölkopf,
Alexander J. Smola:
A Kernel Method for the Two-Sample-Problem.
NIPS 2006: 513-520 |
7 | EE | Jiayuan Huang,
Alexander J. Smola,
Arthur Gretton,
Karsten M. Borgwardt,
Bernhard Schölkopf:
Correcting Sample Selection Bias by Unlabeled Data.
NIPS 2006: 601-608 |
6 | EE | Manuel Davy,
Frédéric Desobry,
Arthur Gretton,
Christian Doncarli:
An online support vector machine for abnormal events detection.
Signal Processing 86(8): 2009-2025 (2006) |
2005 |
5 | EE | Arthur Gretton,
Olivier Bousquet,
Alex J. Smola,
Bernhard Schölkopf:
Measuring Statistical Dependence with Hilbert-Schmidt Norms.
ALT 2005: 63-77 |
4 | EE | Kenji Fukumizu,
Francis R. Bach,
Arthur Gretton:
Statistical Convergence of Kernel CCA.
NIPS 2005 |
3 | EE | Arthur Gretton,
Ralf Herbrich,
Alexander J. Smola,
Olivier Bousquet,
Bernhard Schölkopf:
Kernel Methods for Measuring Independence.
Journal of Machine Learning Research 6: 2075-2129 (2005) |
2004 |
2 | EE | Gökhan H. Bakir,
Arthur Gretton,
Matthias O. Franz,
Bernhard Schölkopf:
Multivariate Regression via Stiefel Manifold Constraints.
DAGM-Symposium 2004: 262-269 |
2003 |
1 | EE | Dengyong Zhou,
Jason Weston,
Arthur Gretton,
Olivier Bousquet,
Bernhard Schölkopf:
Ranking on Data Manifolds.
NIPS 2003 |