Sustik, Mátyás A.

6 publications

JMLR 2014 QUIC: Quadratic Approximation for Sparse Inverse Covariance Estimation Cho-Jui Hsieh, Mátyás A. Sustik, Inderjit S. Dhillon, Pradeep Ravikumar

NeurIPS 2013 BIG & QUIC: Sparse Inverse Covariance Estimation for a Million Variables Cho-Jui Hsieh, Matyas A Sustik, Inderjit S Dhillon, Pradeep K Ravikumar, Russell Poldrack

NeurIPS 2012 Sparse Approximate Manifolds for Differential Geometric MCMC Ben Calderhead, Mátyás A. Sustik

NeurIPS 2011 Sparse Inverse Covariance Matrix Estimation Using Quadratic Approximation Cho-jui Hsieh, Inderjit S. Dhillon, Pradeep K. Ravikumar, Mátyás A. Sustik

JMLR 2009 Low-Rank Kernel Learning with Bregman Matrix Divergences Brian Kulis, Mátyás A. Sustik, Inderjit S. Dhillon

ICML 2006 Learning Low-Rank Kernel Matrices Brian Kulis, Mátyás A. Sustik, Inderjit S. Dhillon