ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1205.5473
  4. Cited By
$\ell_0$-penalized maximum likelihood for sparse directed acyclic graphs

ℓ0\ell_0ℓ0​-penalized maximum likelihood for sparse directed acyclic graphs

24 May 2012
Sara van de Geer
Peter Buhlmann
    CML
ArXivPDFHTML

Papers citing "$\ell_0$-penalized maximum likelihood for sparse directed acyclic graphs"

8 / 8 papers shown
Title
On the Role of Sparsity and DAG Constraints for Learning Linear DAGs
On the Role of Sparsity and DAG Constraints for Learning Linear DAGs
Ignavier Ng
AmirEmad Ghassami
Kun Zhang
CML
41
189
0
17 Jun 2020
Strong Faithfulness and Uniform Consistency in Causal Inference
Strong Faithfulness and Uniform Consistency in Causal Inference
Jiji Zhang
Peter Spirtes
65
108
0
19 Oct 2012
Geometry of the faithfulness assumption in causal inference
Geometry of the faithfulness assumption in causal inference
Caroline Uhler
Garvesh Raskutti
Peter Buhlmann
B. Yu
88
220
0
02 Jul 2012
A simple approach for finding the globally optimal Bayesian network
  structure
A simple approach for finding the globally optimal Bayesian network structure
T. Silander
P. Myllymäki
TPM
77
397
0
27 Jun 2012
Identifiability of Gaussian structural equation models with equal error
  variances
Identifiability of Gaussian structural equation models with equal error variances
J. Peters
Peter Buhlmann
CML
155
336
0
11 May 2012
High-dimensional regression with noisy and missing data: Provable
  guarantees with nonconvexity
High-dimensional regression with noisy and missing data: Provable guarantees with nonconvexity
Po-Ling Loh
Martin J. Wainwright
90
559
0
16 Sep 2011
Characterization and Greedy Learning of Interventional Markov
  Equivalence Classes of Directed Acyclic Graphs
Characterization and Greedy Learning of Interventional Markov Equivalence Classes of Directed Acyclic Graphs
Alain Hauser
Peter Buhlmann
CML
63
425
0
14 Apr 2011
Penalized Likelihood Methods for Estimation of Sparse High Dimensional
  Directed Acyclic Graphs
Penalized Likelihood Methods for Estimation of Sparse High Dimensional Directed Acyclic Graphs
Ali Shojaie
George Michailidis
CML
100
200
0
28 Nov 2009
1