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2011.00641
Cited By
Active Structure Learning of Causal DAGs via Directed Clique Tree
1 November 2020
C. Squires
Sara Magliacane
Kristjan Greenewald
Dmitriy A. Katz
Murat Kocaoglu
Karthikeyan Shanmugam
CML
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Papers citing
"Active Structure Learning of Causal DAGs via Directed Clique Tree"
10 / 10 papers shown
Title
Adaptive Online Experimental Design for Causal Discovery
Muhammad Qasim Elahi
Lai Wei
Murat Kocaoglu
Mahsa Ghasemi
CML
36
1
0
19 May 2024
Causal Bandits without Graph Learning
Mikhail Konobeev
Jalal Etesami
Negar Kiyavash
CML
9
8
0
26 Jan 2023
Trust Your
∇
\nabla
∇
: Gradient-based Intervention Targeting for Causal Discovery
Mateusz Olko
Michal Zajac
A. Nowak
Nino Scherrer
Yashas Annadani
Stefan Bauer
Lukasz Kucinski
Piotr Milos
CML
22
2
0
24 Nov 2022
Polynomial-Time Algorithms for Counting and Sampling Markov Equivalent DAGs with Applications
Marcel Wienöbst
Max Bannach
Maciej Liskiewicz
16
9
0
05 May 2022
Interventions, Where and How? Experimental Design for Causal Models at Scale
P. Tigas
Yashas Annadani
Andrew Jesson
Bernhard Schölkopf
Y. Gal
Stefan Bauer
CML
24
48
0
03 Mar 2022
Universal Lower Bound for Learning Causal DAGs with Atomic Interventions
Vibhor Porwal
P. Srivastava
Gaurav Sinha
CML
17
2
0
09 Nov 2021
Active-LATHE: An Active Learning Algorithm for Boosting the Error Exponent for Learning Homogeneous Ising Trees
Fengzhuo Zhang
Anshoo Tandon
Vincent Y. F. Tan
14
1
0
27 Oct 2021
Learning Neural Causal Models with Active Interventions
Nino Scherrer
O. Bilaniuk
Yashas Annadani
Anirudh Goyal
Patrick Schwab
Bernhard Schölkopf
Michael C. Mozer
Yoshua Bengio
Stefan Bauer
Nan Rosemary Ke
CML
26
42
0
06 Sep 2021
Efficient Online Estimation of Causal Effects by Deciding What to Observe
Shantanu Gupta
Zachary Chase Lipton
David Benjamin Childers
CML
24
18
0
20 Aug 2021
Causal Inference and Causal Explanation with Background Knowledge
Christopher Meek
CML
216
626
0
20 Feb 2013
1