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Deconfounded Score Method: Scoring DAGs with Dense Unobserved Confounding
28 March 2021
Alexis Bellot
M. Schaar
CML
Re-assign community
ArXiv (abs)
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Papers citing
"Deconfounded Score Method: Scoring DAGs with Dense Unobserved Confounding"
8 / 8 papers shown
Title
Differentiable Causal Discovery For Latent Hierarchical Causal Models
Parjanya Prashant
Ignavier Ng
Kun Zhang
Zhen Zhang
CML
330
0
0
29 Nov 2024
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DAG: Projected Stochastic Approximation Iteration for DAG Structure Learning
Klea Ziu
Slavomír Hanzely
Loka Li
Kun Zhang
Martin Takáč
Dmitry Kamzolov
65
1
0
31 Oct 2024
Revisiting Differentiable Structure Learning: Inconsistency of
ℓ
1
\ell_1
ℓ
1
Penalty and Beyond
Kaifeng Jin
Ignavier Ng
Kun Zhang
Zhen Zhang
76
0
0
24 Oct 2024
Towards Bounding Causal Effects under Markov Equivalence
Alexis Bellot
CML
34
7
0
13 Nov 2023
Structure Learning with Continuous Optimization: A Sober Look and Beyond
Ignavier Ng
Erdun Gao
Kun Zhang
CML
96
21
0
04 Apr 2023
Causal Reasoning in the Presence of Latent Confounders via Neural ADMG Learning
Matthew Ashman
Chao Ma
Agrin Hilmkil
Joel Jennings
Cheng Zhang
CML
AI4CE
93
10
0
22 Mar 2023
A Consistent Estimator for Confounding Strength
Luca Rendsburg
L. C. Vankadara
Debarghya Ghoshdastidar
U. V. Luxburg
CML
63
2
0
03 Nov 2022
On the Convergence of Continuous Constrained Optimization for Structure Learning
Ignavier Ng
Sébastien Lachapelle
Nan Rosemary Ke
Simon Lacoste-Julien
Kun Zhang
105
38
0
23 Nov 2020
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