Inferring large graphs using l1-penalized likelihood

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Inferring large graphs using l1-penalized likelihood

8 July 2015

Magali Champion

Matthieu Vignes

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Papers citing "Inferring large graphs using l1-penalized likelihood"

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Title
Learning Directed Acyclic Graphs with Penalized Neighbourhood Regression Bryon Aragam Arash A. Amini Qing Zhou CML 59 42 0 29 Nov 2015
Inferring Regulatory Networks by Combining Perturbation Screens and Steady State Gene Expression Profiles Ali Shojaie A. Jauhiainen M. Kallitsis George Michailidis 101 37 0 02 Dec 2013
Causal Discovery with Continuous Additive Noise Models Jonas Peters Joris Mooij Dominik Janzing Bernhard Schölkopf CML 106 573 0 26 Sep 2013
A convex pseudo-likelihood framework for high dimensional partial correlation estimation with convergence guarantees Kshitij Khare Sang-Yun Oh B. Rajaratnam 61 118 0 20 Jul 2013
Jointly interventional and observational data: estimation of interventional Markov equivalence classes of directed acyclic graphs Alain Hauser Peter Buhlmann CML 88 95 0 13 Mar 2013
Directed Cyclic Graphical Representations of Feedback Models Peter Spirtes CML 115 239 0 20 Feb 2013
A simple approach for finding the globally optimal Bayesian network structure T. Silander P. Myllymäki TPM 95 399 0 27 Jun 2012
Projected Subgradient Methods for Learning Sparse Gaussians John C. Duchi Stephen Gould D. Koller 357 155 0 13 Jun 2012
$$\ell_0$-penalized maximum likelihood for sparse directed acyclic graphs$ $\ell_0$ -penalized maximum likelihood for sparse directed acyclic graphs Sara van de Geer Peter Buhlmann CML 153 83 0 24 May 2012
Identifiability of Causal Graphs using Functional Models J. Peters Joris Mooij Dominik Janzing Bernhard Schölkopf 100 155 0 14 Feb 2012
Characterization and Greedy Learning of Interventional Markov Equivalence Classes of Directed Acyclic Graphs Alain Hauser Peter Buhlmann CML 98 426 0 14 Apr 2011
Minimax risks for sparse regressions: Ultra-high-dimensional phenomenons Nicolas Verzélen 284 153 0 03 Aug 2010
Penalized Likelihood Methods for Estimation of Sparse High Dimensional Directed Acyclic Graphs Ali Shojaie George Michailidis CML 144 200 0 28 Nov 2009
Taking Advantage of Sparsity in Multi-Task Learning Karim Lounici Massimiliano Pontil Alexandre B. Tsybakov Sara van de Geer 335 292 0 09 Mar 2009
Bolasso: model consistent Lasso estimation through the bootstrap Francis R. Bach 89 451 0 08 Apr 2008
Simultaneous analysis of Lasso and Dantzig selector Peter J. Bickel Yaácov Ritov Alexandre B. Tsybakov 535 2,531 0 07 Jan 2008