Goran Marjanovic

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All published works

Action	Title	Year	Authors
+	Numerical methods for stochastic differential equations in the Stiefel manifold made simple	2016	Goran Marjanovic Marc J. Piggott Victor Solo
+	An engineer's guide to particle filtering on matrix Lie groups	2016	Goran Marjanovic Victor Solo
+ PDF Chat	MIST: L<inf>0</inf> sparse linear regression with momentum	2015	Goran Marjanovic Magnús Ö. Úlfarsson Alfred O. Hero
+ PDF Chat	<formula formulatype="inline"><tex Notation="TeX">$l_{0}$</tex></formula> Sparse Inverse Covariance Estimation	2015	Goran Marjanovic Alfred O. Hero
+	MIST: L0 Sparse Linear Regression with Momentum	2014	Goran Marjanovic Magnús Ö. Úlfarsson Alfred O. Hero
+	L0 Sparse Inverse Covariance Estimation	2014	Goran Marjanovic Alfred O. Hero
+	$l_0$ Sparse Inverse Covariance Estimation	2014	Goran Marjanovic Alfred O. Hero
+ PDF Chat	On l<inf>q</inf> estimation of sparse inverse covariance	2014	Goran Marjanovic Alfred O. Hero
+	On ${l}_{q}$ Optimization and Sparse Inverse Covariance Selection	2014	Goran Marjanovic Victor Solo
+	On $l_q$ Optimization and Matrix Completion	2012	Goran Marjanovic Victor Solo
+	lq matrix completion.	2012	Goran Marjanovic Victor Solo
+	L<inf>0</inf> sparse graphical modeling	2011	Goran Marjanovic Victor Solo

Common Coauthors

Coauthor	Papers Together
Alfred O. Hero	6
Victor Solo	6
Magnús Ö. Úlfarsson	2
Marc J. Piggott	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems	2009	Amir Beck Marc Teboulle	7
+	Regression Shrinkage and Selection Via the Lasso	1996	Robert Tibshirani	7
+	Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties	2001	Jianqing Fan Runze Li	6
+	Spectral Regularization Algorithms for Learning Large Incomplete Matrices.	2010	Rahul Mazumder Trevor Hastie Robert Tibshirani	6
+ PDF Chat	<i>SparseNet</i>: Coordinate Descent With Nonconvex Penalties	2011	Rahul Mazumder Jerome H. Friedman Trevor Hastie	5
+ PDF Chat	Sparsistency and rates of convergence in large covariance matrix estimation	2009	Clifford Lam Jianqing Fan	5
+	Sparse inverse covariance estimation with the graphical lasso	2007	Jerome H. Friedman Trevor Hastie R. Tibshirani	5
+	Model Selection Through Sparse Maximum Likelihood Estimation for Multivariate Gaussian or Binary Data	2008	Onureena Banerjee Laurent El Ghaoui Alexandre d’Aspremont	5
+ PDF Chat	On l<inf>q</inf> estimation of sparse inverse covariance	2014	Goran Marjanovic Alfred O. Hero	4
+ PDF Chat	Learning Sparse Gaussian Markov Networks Using a Greedy Coordinate Ascent Approach	2010	Katya Scheinberg Irina Rish	4
+	NETWORK EXPLORATION VIA THE ADAPTIVE LASSO AND SCAD PENALTIES.	2009	Jianqing Fan Yang Feng Yichao Wu	4
+	Solution of equations in Euclidean and Banach spaces	1973	Alexander Ostrowski	4
+	Spectral Regularization Algorithms for Learning Large Incomplete Matrices	2010	MazumderRahul HastieTrevor TibshiraniRobert	4
+ PDF Chat	Sparse permutation invariant covariance estimation	2008	Adam Rothman Peter J. Bickel Elizaveta Levina Ji Zhu	4
+	L<inf>0</inf> sparse graphical modeling	2011	Goran Marjanovic Victor Solo	4
+	Covariance Selection	1972	A. P. Dempster	4
+ PDF Chat	Partial Correlation Estimation by Joint Sparse Regression Models	2009	Jie Peng Pei Wang Nengfeng Zhou Ji Zhu	3
+	Sparse Inverse Covariance Matrix Estimation Using Quadratic Approximation	2011	Cho‐Jui Hsieh Inderjit S. Dhillon Pradeep Ravikumar Mátyás A. Sustik	3
+	Linear and Nonlinear Programming	2008	David G. Luenberger Yinyu Ye	3
+ PDF Chat	Lower Bound Theory of Nonzero Entries in Solutions of $\ell_2$-$\ell_p$ Minimization	2010	Xiaojun Chen Fengmin Xu Yinyu Ye	3
+ PDF Chat	Fast Gradient-Based Algorithms for Constrained Total Variation Image Denoising and Deblurring Problems	2009	Amir Beck Marc Teboulle	3
+ PDF Chat	Minimization of Non-smooth, Non-convex Functionals by Iterative Thresholding	2014	Kristian Bredies Dirk A. Lorenz Stefan Reiterer	3
+	On $l_q$ Optimization and Matrix Completion	2012	Goran Marjanovic Victor Solo	3
+	Newton-Like Methods for Sparse Inverse Covariance Estimation	2012	Figen Öztoprak Jorge Nocedal Steven J. Rennie Peder A. Olsen	3
+	Model selection and estimation in the Gaussian graphical model	2007	Ming Yuan Yi Lin	3
+	Sparse Inverse Covariance Selection via Alternating Linearization Methods	2010	Katya Scheinberg Shiqian Ma Donald Goldfarb	3
+ PDF Chat	Network exploration via the adaptive LASSO and SCAD penalties	2009	Jianqing Fan Yang Feng Yichao Wu	3
+ PDF Chat	Pathwise coordinate optimization	2007	Jerome H. Friedman Trevor Hastie Holger Höfling Robert Tibshirani	3
+	Exact Reconstruction of Sparse Signals via Nonconvex Minimization	2007	Rick Chartrand	3
+	Convergence of a Block Coordinate Descent Method for Nondifferentiable Minimization	2001	P. Tseng	3
+	Estimating High-Dimensional Directed Acyclic Graphs with the PC-Algorithm	2007	KalischMarkus BühlmannPeter	2
+	High-dimensional graphs and variable selection with the Lasso	2006	Nicolai Meinshausen Peter Bühlmann	2
+	High strong order methods for non-commutative stochastic ordinary differential equation systems and the Magnus formula	1999	Kevin Burrage Pamela Burrage	2
+	Lie Groups, Lie Algebras, and Representations: An Elementary Introduction	2004	Brian C. Hall	2
+	Extended Bayesian Information Criteria for Gaussian Graphical Models	2010	Rina Foygel Mathias Drton	2
+	Linear and nonlinear programming.	1986		2
+	Sparse Inverse Covariance Matrix Estimation Using Quadratic Approximation	2013	Cho‐Jui Hsieh Mátyás A. Sustik Inderjit S. Dhillon Pradeep Ravikumar	2
+ PDF Chat	Joint covariate selection and joint subspace selection for multiple classification problems	2009	Guillaume Obozinski Ben Taskar Michael I. Jordan	2
+	Matching pursuits with time-frequency dictionaries	1993	Stéphane Mallat Zhifeng Zhang	2
+	Estimating high-dimensional directed acyclic graphs with the PC-algorithm	2005	Markus Kalisch Peter Bühlmann	2
+	Solving low-rank matrix completion problems efficiently	2009	Donald Goldfarb Shiqian Ma Zaiwen Wen	2
+	Smoothing noisy data with spline functions	1978	Peter G. Craven Grace Wahba	2
+ PDF Chat	First-Order Methods for Sparse Covariance Selection	2008	Alexandre d’Aspremont Onureena Banerjee Laurent El Ghaoui	2
+ PDF Chat	The Power of Convex Relaxation: Near-Optimal Matrix Completion	2010	Emmanuel J. Candès Terence Tao	2
+ PDF Chat	Stochastic Lie Group Integrators	2008	Simon J. A. Malham Anke Wiese	2
+ PDF Chat	Description of the Minimizers of Least Squares Regularized with $\ell_0$-norm. Uniqueness of the Global Minimizer	2013	Mila Nikolova	2
+ PDF Chat	Optimization for Machine Learning	2011	Suvrit Sra Sebastian Nowozin Stephen J. Wright	2
+	Extended Bayesian Information Criteria for Gaussian Graphical Models	2010	Rina Foygel Mathias Drton	2
+	Fast sparse regression and classification	2012	Jerome H. Friedman	2
+	Geometric Numerical Integration: Structure-Preserving Algorithms for Ordinary Differential Equations	2009	Ernst Hairer Christian Lubich Gerhard Wanner	2