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All publications by Mátyás A. Sustik
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Sparse Approximate Manifolds for Differential Geometric MCMC
Ben Calderhead and Mátyás A. Sustik
Advances in Neural Information Processing Systems 25, 2012


Sparse Inverse Covariance Matrix Estimation Using Quadratic Approximation
Cho-jui Hsieh, Inderjit S. Dhillon, Pradeep K. Ravikumar and Mátyás A. Sustik
Advances in Neural Information Processing Systems 24, 2011


Low-Rank Kernel Learning with Bregman Matrix Divergences
Brian Kulis, Mátyás A. Sustik and Inderjit S. Dhillon
Journal of Machine Learning Research, 2009


Learning low-rank kernel matrices
Brian Kulis, Mátyás A. Sustik and Inderjit S. Dhillon
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006