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2204.04644
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From graphs to DAGs: a low-complexity model and a scalable algorithm
10 April 2022
Shuyu Dong
Michèle Sebag
CML
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ArXiv (abs)
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Papers citing
"From graphs to DAGs: a low-complexity model and a scalable algorithm"
13 / 13 papers shown
Title
LOCAL: Learning with Orientation Matrix to Infer Causal Structure from Time Series Data
Yue Cheng
Jiajun Zhang
Weiwei Xing
Xiaoyu Guo
Yue Cheng
Witold Pedrycz
CML
120
0
0
25 Oct 2024
Counterfactual Generative Networks
Axel Sauer
Andreas Geiger
OOD
BDL
CML
90
127
0
15 Jan 2021
On the Role of Sparsity and DAG Constraints for Learning Linear DAGs
Ignavier Ng
AmirEmad Ghassami
Kun Zhang
CML
57
190
0
17 Jun 2020
On Low Rank Directed Acyclic Graphs and Causal Structure Learning
Zhuangyan Fang
Shengyu Zhu
Jiji Zhang
Yue Liu
Zhitang Chen
Yangbo He
CML
69
28
0
10 Jun 2020
Learning Sparse Nonparametric DAGs
Xun Zheng
Chen Dan
Bryon Aragam
Pradeep Ravikumar
Eric Xing
CML
165
261
0
29 Sep 2019
Invariant Risk Minimization
Martín Arjovsky
Léon Bottou
Ishaan Gulrajani
David Lopez-Paz
OOD
195
2,246
0
05 Jul 2019
DAG-GNN: DAG Structure Learning with Graph Neural Networks
Yue Yu
Jie Chen
Tian Gao
Mo Yu
BDL
CML
GNN
82
490
0
22 Apr 2019
Nonlinear ICA Using Auxiliary Variables and Generalized Contrastive Learning
Aapo Hyvarinen
Hiroaki Sasaki
Richard Turner
OOD
CML
97
331
0
22 May 2018
Structural Agnostic Modeling: Adversarial Learning of Causal Graphs
Diviyan Kalainathan
Olivier Goudet
Isabelle M Guyon
David Lopez-Paz
Michèle Sebag
CML
58
95
0
13 Mar 2018
DAGs with NO TEARS: Continuous Optimization for Structure Learning
Xun Zheng
Bryon Aragam
Pradeep Ravikumar
Eric Xing
NoLa
CML
OffRL
102
950
0
04 Mar 2018
Causal inference using invariant prediction: identification and confidence intervals
J. Peters
Peter Buhlmann
N. Meinshausen
OOD
124
974
0
06 Jan 2015
CAM: Causal additive models, high-dimensional order search and penalized regression
Peter Buhlmann
J. Peters
J. Ernest
CML
129
325
0
06 Oct 2013
DirectLiNGAM: A direct method for learning a linear non-Gaussian structural equation model
Shohei Shimizu
Takanori Inazumi
Yasuhiro Sogawa
Aapo Hyvarinen
Yoshinobu Kawahara
Takashi Washio
P. Hoyer
K. Bollen
CML
102
511
0
13 Jan 2011
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