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2106.03028
Cited By
Collaborative Causal Discovery with Atomic Interventions
6 June 2021
Raghavendra Addanki
S. Kasiviswanathan
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Papers citing
"Collaborative Causal Discovery with Atomic Interventions"
15 / 15 papers shown
Title
Deriving Causal Order from Single-Variable Interventions: Guarantees & Algorithm
Mathieu Chevalley
Patrick Schwab
Arash Mehrjou
101
1
0
28 May 2024
Intervention Efficient Algorithms for Approximate Learning of Causal Graphs
Raghavendra Addanki
A. Mcgregor
Cameron Musco
CML
43
9
0
27 Dec 2020
Efficient Intervention Design for Causal Discovery with Latents
Raghavendra Addanki
S. Kasiviswanathan
A. Mcgregor
Cameron Musco
CML
35
30
0
24 May 2020
Causal Structure Discovery from Distributions Arising from Mixtures of DAGs
Basil Saeed
Snigdha Panigrahi
Caroline Uhler
CML
31
23
0
31 Jan 2020
Minimax Optimal Conditional Independence Testing
Matey Neykov
Sivaraman Balakrishnan
Larry A. Wasserman
50
44
0
09 Jan 2020
Interventional Experiment Design for Causal Structure Learning
AmirEmad Ghassami
Saber Salehkaleybar
Negar Kiyavash
CML
45
10
0
12 Oct 2019
Size of Interventional Markov Equivalence Classes in Random DAG Models
Dmitriy A. Katz
Karthikeyan Shanmugam
C. Squires
Caroline Uhler
CML
48
9
0
05 Mar 2019
Experimental Design for Cost-Aware Learning of Causal Graphs
Erik M. Lindgren
Murat Kocaoglu
A. Dimakis
S. Vishwanath
CML
50
37
0
28 Oct 2018
Learning and Testing Causal Models with Interventions
Jayadev Acharya
Arnab Bhattacharyya
C. Daskalakis
S. Kandasamy
CML
53
53
0
24 May 2018
Budgeted Experiment Design for Causal Structure Learning
AmirEmad Ghassami
Saber Salehkaleybar
Negar Kiyavash
Elias Bareinboim
CML
90
64
0
11 Sep 2017
Clustering with Same-Cluster Queries
H. Ashtiani
Shrinu Kushagra
Shai Ben-David
53
97
0
08 Jun 2016
Learning Causal Graphs with Small Interventions
Karthikeyan Shanmugam
Murat Kocaoglu
A. Dimakis
S. Vishwanath
CML
96
106
0
30 Oct 2015
Causal Inference in the Presence of Latent Variables and Selection Bias
Peter Spirtes
Christopher Meek
Thomas S. Richardson
CML
188
444
0
20 Feb 2013
Learning high-dimensional directed acyclic graphs with latent and selection variables
Diego Colombo
Marloes H. Maathuis
M. Kalisch
Thomas S. Richardson
CML
120
465
0
29 Apr 2011
Characterization and Greedy Learning of Interventional Markov Equivalence Classes of Directed Acyclic Graphs
Alain Hauser
Peter Buhlmann
CML
90
424
0
14 Apr 2011
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