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 | 2012 | |
|---|---|---|
| j6 |      | Bharath K. Sriperumbudur, Ingo Steinwart: Consistency and Rates for Clustering with DBSCAN. Journal of Machine Learning Research - Proceedings Track 22: 1090-1098 (2012) |
| j5 | | Bharath K. Sriperumbudur, Gert R. G. Lanckriet: A Proof of Convergence of the Concave-Convex Procedure Using Zangwill's Theory. Neural Computation 24(6): 1391-1407 (2012) |
| c13 | | Dino Sejdinovic, Arthur Gretton, Bharath K. Sriperumbudur, Kenji Fukumizu: Hypothesis testing using pairwise distances and associated kernels. ICML 2012 |
| c12 | | Arthur Gretton, Bharath K. Sriperumbudur, Dino Sejdinovic, Heiko Strathmann, Sivaraman Balakrishnan, Massimiliano Pontil, Kenji Fukumizu: Optimal kernel choice for large-scale two-sample tests. NIPS 2012: 1214-1222 |
| i3 | | Dino Sejdinovic, Arthur Gretton, Bharath K. Sriperumbudur, Kenji Fukumizu: Hypothesis testing using pairwise distances and associated kernels (with Appendix). CoRR abs/1205.0411 (2012) |
| i2 | | Dino Sejdinovic, Bharath K. Sriperumbudur, Arthur Gretton, Kenji Fukumizu: Equivalence of distance-based and RKHS-based statistics in hypothesis testing. CoRR abs/1207.6076 (2012) |
| 2011 | ||
| j4 | | Bharath K. Sriperumbudur, Kenji Fukumizu, Gert R. G. Lanckriet: Universality, Characteristic Kernels and RKHS Embedding of Measures. Journal of Machine Learning Research 12: 2389-2410 (2011) |
| j3 | | Bharath K. Sriperumbudur, David A. Torres, Gert R. G. Lanckriet: A majorization-minimization approach to the sparse generalized eigenvalue problem. Machine Learning 85(1-2): 3-39 (2011) |
| c11 | | Bharath K. Sriperumbudur: Mixture density estimation via Hilbert space embedding of measures. ISIT 2011: 1027-1030 |
| c10 | | Bharath K. Sriperumbudur, Kenji Fukumizu, Gert R. G. Lanckriet: Learning in Hilbert vs. Banach Spaces: A Measure Embedding Viewpoint. NIPS 2011: 1773-1781 |
| 2010 | ||
| j2 | | Bharath K. Sriperumbudur, Kenji Fukumizu, Gert R. G. Lanckriet: On the relation between universality, characteristic kernels and RKHS embedding of measures. Journal of Machine Learning Research - Proceedings Track 9: 773-780 (2010) |
| j1 | | Bharath K. Sriperumbudur, Arthur Gretton, Kenji Fukumizu, Bernhard Schölkopf, Gert R. G. Lanckriet: Hilbert Space Embeddings and Metrics on Probability Measures. Journal of Machine Learning Research 11: 1517-1561 (2010) |
| c9 | | Bharath K. Sriperumbudur, Kenji Fukumizu, Arthur Gretton, Bernhard Schölkopf, Gert R. G. Lanckriet: Non-parametric estimation of integral probability metrics. ISIT 2010: 1428-1432 |
| 2009 | ||
| c8 | | Stefanie Jegelka, Arthur Gretton, Bernhard Schölkopf, Bharath K. Sriperumbudur, Ulrike von Luxburg: Generalized Clustering via Kernel Embeddings. KI 2009: 144-152 |
| c7 | | Arthur Gretton, Kenji Fukumizu, Zaïd Harchaoui, Bharath K. Sriperumbudur: A Fast, Consistent Kernel Two-Sample Test. NIPS 2009: 673-681 |
| c6 | | Bharath K. Sriperumbudur, Kenji Fukumizu, Arthur Gretton, Gert R. G. Lanckriet, Bernhard Schölkopf: Kernel Choice and Classifiability for RKHS Embeddings of Probability Distributions. NIPS 2009: 1750-1758 |
| c5 | | Bharath K. Sriperumbudur, Gert R. G. Lanckriet: On the Convergence of the Concave-Convex Procedure. NIPS 2009: 1759-1767 |
| i1 | | 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 | ||
| c4 | | Bharath K. Sriperumbudur, Arthur Gretton, Kenji Fukumizu, Gert R. G. Lanckriet, Bernhard Schölkopf: Injective Hilbert Space Embeddings of Probability Measures. COLT 2008: 111-122 |
| c3 | | Bharath K. Sriperumbudur, Omer A. Lang, Gert R. G. Lanckriet: Metric embedding for kernel classification rules. ICML 2008: 1008-1015 |
| c2 | | Kenji Fukumizu, Bharath K. Sriperumbudur, Arthur Gretton, Bernhard Schölkopf: Characteristic Kernels on Groups and Semigroups. NIPS 2008: 473-480 |
| 2007 | ||
| c1 | | Bharath K. Sriperumbudur, David A. Torres, Gert R. G. Lanckriet: Sparse eigen methods by D.C. programming. ICML 2007: 831-838 |
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