Mátyás A. Sustik
5 papers · 2009–2014 · 2 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (20) 🐣 Hot Topic Early Bird
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Keyword Collector
(50)
Venues
Top co-authors
Research topics
Keywords
l1 regularization
(3)
sparse inverse covariance
(3)
quadratic approximation
(2)
inverse covariance matrix
(2)
graphical model
(2)
convex optimization
(2)
newton's method
(2)
gaussian markov random field
(2)
high-dimensional statistics
(1)
kernel learning
(1)
matrix factorization
(1)
sparse approximation
(1)
sparse regularization
(1)
mcmc sampling
(1)
bregman divergence
(1)
high-dimensional estimation
(1)
graph structure
(1)
positive semidefinite matrix
(1)
maximum likelihood estimation
(1)
fisher information
(1)
Papers
QUIC: Quadratic Approximation for Sparse Inverse Covariance Estimation
JMLR 2014
BIG & QUIC: Sparse Inverse Covariance Estimation for a Million Variables
NeurIPS 2013
Sparse Approximate Manifolds for Differential Geometric MCMC
NeurIPS 2012
Sparse Inverse Covariance Matrix Estimation Using Quadratic Approximation
NeurIPS 2011
Low-Rank Kernel Learning with Bregman Matrix Divergences
JMLR 2009