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All publications by Gert R. Lanckriet
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Robust Structural Metric Learning
Daryl Lim, Brian Mcfee and Gert R. Lanckriet
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Non-linear Metric Learning
Dor Kedem, Stephen Tyree, Fei Sha, Gert R. Lanckriet and Kilian Q. Weinberger
Advances in Neural Information Processing Systems 25, 2012


The variational hierarchical EM algorithm for clustering hidden Markov models.
Emanuele Coviello, Gert R. Lanckriet and Antoni B. Chan
Advances in Neural Information Processing Systems 25, 2012


Learning in Hilbert vs. Banach Spaces: A Measure Embedding Viewpoint
Kenji Fukumizu, Gert R. Lanckriet and Bharath K. Sriperumbudur
Advances in Neural Information Processing Systems 24, 2011


Metric Learning to Rank
Brian Mcfee and Gert R. Lanckriet
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


Partial order embedding with multiple kernels
Brian Mcfee and Gert R. Lanckriet
Proceedings of the 26th International Conference on Machine Learning (ICML-09), 2009


On the Convergence of the Concave-Convex Procedure
Gert R. Lanckriet and Bharath K. Sriperumbudur
Advances in Neural Information Processing Systems 22, 2009


Kernel Choice and Classifiability for RKHS Embeddings of Probability Distributions
Kenji Fukumizu, Arthur Gretton, Gert R. Lanckriet, Bernhard Schölkopf and Bharath K. Sriperumbudur
Advances in Neural Information Processing Systems 22, 2009


Metric embedding for kernel classification rules
Bharath K. Sriperumbudur, Omer A. Lang and Gert R. Lanckriet
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


A Direct Formulation for Sparse PCA Using Semidefinite Programming
Alexandre D'aspremont, Laurent E. Ghaoui, Michael I. Jordan and Gert R. Lanckriet
Advances in Neural Information Processing Systems 17, 2004


Robust Novelty Detection with Single-Class MPM
Laurent E. Ghaoui, Michael I. Jordan and Gert R. Lanckriet
Advances in Neural Information Processing Systems 15, 2002