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Inferring large graphs using l1-penalized likelihood
v1v2v3 (latest)

Inferring large graphs using l1-penalized likelihood

8 July 2015
Magali Champion
Victor Picheny
Matthieu Vignes
ArXiv (abs)PDFHTML

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

6 / 6 papers shown
Title
A Stochastic Variance-Reduced Coordinate Descent Algorithm for Learning
  Sparse Bayesian Network from Discrete High-Dimensional Data
A Stochastic Variance-Reduced Coordinate Descent Algorithm for Learning Sparse Bayesian Network from Discrete High-Dimensional Data
Nazanin Shajoonnezhad
Amin Nikanjam
52
3
0
21 Aug 2021
D'ya like DAGs? A Survey on Structure Learning and Causal Discovery
D'ya like DAGs? A Survey on Structure Learning and Causal Discovery
M. Vowels
Necati Cihan Camgöz
Richard Bowden
CML
147
305
0
03 Mar 2021
DAGs with NO TEARS: Continuous Optimization for Structure Learning
DAGs with NO TEARS: Continuous Optimization for Structure Learning
Xun Zheng
Bryon Aragam
Pradeep Ravikumar
Eric Xing
NoLaCMLOffRL
111
952
0
04 Mar 2018
Mode jumping MCMC for Bayesian variable selection in GLMM
Mode jumping MCMC for Bayesian variable selection in GLMM
A. Hubin
G. Storvik
67
29
0
21 Apr 2016
Mapping Energy Landscapes of Non-Convex Learning Problems
Mapping Energy Landscapes of Non-Convex Learning Problems
M. Pavlovskaia
Kewei Tu
Song-Chun Zhu
32
5
0
02 Oct 2014
Penalized Estimation of Directed Acyclic Graphs From Discrete Data
Penalized Estimation of Directed Acyclic Graphs From Discrete Data
J. Gu
Fei Fu
Qing Zhou
CML
108
42
0
10 Mar 2014
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