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Arthur Gretton: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Arthur Gretton, Olivier Bousquet, Alex J. Smola, Bernhard Schölkopf
    Measuring Statistical Dependence with Hilbert-Schmidt Norms. [Citation Graph (0, 0)][DBLP]
    ALT, 2005, pp:63-77 [Conf]
  2. Gökhan H. Bakir, Arthur Gretton, Matthias O. Franz, Bernhard Schölkopf
    Multivariate Regression via Stiefel Manifold Constraints. [Citation Graph (0, 0)][DBLP]
    DAGM-Symposium, 2004, pp:262-269 [Conf]
  3. 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. [Citation Graph (0, 0)][DBLP]
    ISMB (Supplement of Bioinformatics), 2006, pp:49-57 [Conf]
  4. Kenji Fukumizu, Francis R. Bach, Arthur Gretton
    Statistical Convergence of Kernel CCA. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  5. Dengyong Zhou, Jason Weston, Arthur Gretton, Olivier Bousquet, Bernhard Schölkopf
    Ranking on Data Manifolds. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  6. Arthur Gretton, Ralf Herbrich, Alexander J. Smola, Olivier Bousquet, Bernhard Schölkopf
    Kernel Methods for Measuring Independence. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2005, v:6, n:, pp:2075-2129 [Journal]
  7. Manuel Davy, Frédéric Desobry, Arthur Gretton, Christian Doncarli
    An online support vector machine for abnormal events detection. [Citation Graph (0, 0)][DBLP]
    Signal Processing, 2006, v:86, n:8, pp:2009-2025 [Journal]
  8. Arthur Gretton, Karsten M. Borgwardt, Malte J. Rasch, Bernhard Schölkopf, Alexander J. Smola
    A Kernel Approach to Comparing Distributions. [Citation Graph (0, 0)][DBLP]
    AAAI, 2007, pp:1637-1641 [Conf]
  9. Alex J. Smola, Arthur Gretton, Le Song, Bernhard Schölkopf
    A Hilbert Space Embedding for Distributions. [Citation Graph (0, 0)][DBLP]
    ALT, 2007, pp:13-31 [Conf]
  10. Alexander J. Smola, Arthur Gretton, Le Song, Bernhard Schölkopf
    A Hilbert Space Embedding for Distributions. [Citation Graph (0, 0)][DBLP]
    Discovery Science, 2007, pp:40-41 [Conf]
  11. Le Song, Alexander J. Smola, Arthur Gretton, Karsten M. Borgwardt
    A dependence maximization view of clustering. [Citation Graph (0, 0)][DBLP]
    ICML, 2007, pp:815-822 [Conf]
  12. Le Song, Alex J. Smola, Arthur Gretton, Karsten M. Borgwardt, Justin Bedo
    Supervised feature selection via dependence estimation. [Citation Graph (0, 0)][DBLP]
    ICML, 2007, pp:823-830 [Conf]
  13. Arthur Gretton, Karsten M. Borgwardt, Malte J. Rasch, Bernhard Schölkopf, Alexander J. Smola
    A Kernel Method for the Two-Sample-Problem. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:513-520 [Conf]
  14. Jiayuan Huang, Alexander J. Smola, Arthur Gretton, Karsten M. Borgwardt, Bernhard Schölkopf
    Correcting Sample Selection Bias by Unlabeled Data. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:601-608 [Conf]
  15. Le Song, Alexander J. Smola, Arthur Gretton, Karsten M. Borgwardt, Justin Bedo
    Supervised Feature Selection via Dependence Estimation [Citation Graph (0, 0)][DBLP]
    CoRR, 2007, v:0, n:, pp:- [Journal]

  16. Nonparametric Independence Tests: Space Partitioning and Kernel Approaches. [Citation Graph (, )][DBLP]


  17. Injective Hilbert Space Embeddings of Probability Measures. [Citation Graph (, )][DBLP]


  18. Tailoring density estimation via reproducing kernel moment matching. [Citation Graph (, )][DBLP]


  19. Detecting the direction of causal time series. [Citation Graph (, )][DBLP]


  20. Gene selection via the BAHSIC family of algorithms. [Citation Graph (, )][DBLP]


  21. Generalized Clustering via Kernel Embeddings. [Citation Graph (, )][DBLP]


  22. Kernel Measures of Conditional Dependence. [Citation Graph (, )][DBLP]


  23. Colored Maximum Variance Unfolding. [Citation Graph (, )][DBLP]


  24. A Kernel Statistical Test of Independence. [Citation Graph (, )][DBLP]


  25. Characteristic Kernels on Groups and Semigroups. [Citation Graph (, )][DBLP]


  26. Learning Taxonomies by Dependence Maximization. [Citation Graph (, )][DBLP]


  27. Kernel Measures of Independence for non-iid Data. [Citation Graph (, )][DBLP]


  28. Semi-supervised Laplacian Regularization of Kernel Canonical Correlation Analysis. [Citation Graph (, )][DBLP]


  29. Characteristic Kernels on Structured Domains Excel in Robotics and Human Action Recognition. [Citation Graph (, )][DBLP]


  30. Near-optimal Supervised Feature Selection among Frequent Subgraphs. [Citation Graph (, )][DBLP]


  31. A Kernel Method for the Two-Sample Problem [Citation Graph (, )][DBLP]


  32. A note on integral probability metrics and $\phi$-divergences [Citation Graph (, )][DBLP]


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