ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2106.03028
  4. Cited By
Collaborative Causal Discovery with Atomic Interventions

Collaborative Causal Discovery with Atomic Interventions

6 June 2021
Raghavendra Addanki
S. Kasiviswanathan
ArXivPDFHTML

Papers citing "Collaborative Causal Discovery with Atomic Interventions"

15 / 15 papers shown
Title
Deriving Causal Order from Single-Variable Interventions: Guarantees & Algorithm
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
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
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
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
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
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
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
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
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
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
Clustering with Same-Cluster Queries
H. Ashtiani
Shrinu Kushagra
Shai Ben-David
53
97
0
08 Jun 2016
Learning Causal Graphs with Small Interventions
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
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
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
Characterization and Greedy Learning of Interventional Markov Equivalence Classes of Directed Acyclic Graphs
Alain Hauser
Peter Buhlmann
CML
90
424
0
14 Apr 2011
1