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. 1709.03625
  4. Cited By
Budgeted Experiment Design for Causal Structure Learning

Budgeted Experiment Design for Causal Structure Learning

11 September 2017
AmirEmad Ghassami
Saber Salehkaleybar
Negar Kiyavash
Elias Bareinboim
    CML
ArXivPDFHTML

Papers citing "Budgeted Experiment Design for Causal Structure Learning"

14 / 14 papers shown
Title
Learning Causal Structures Using Regression Invariance
Learning Causal Structures Using Regression Invariance
AmirEmad Ghassami
Saber Salehkaleybar
Negar Kiyavash
Kun Zhang
OOD
CML
59
60
0
26 May 2017
Cost-Optimal Learning of Causal Graphs
Cost-Optimal Learning of Causal Graphs
Murat Kocaoglu
A. Dimakis
S. Vishwanath
CML
91
68
0
08 Mar 2017
Learning Causal Graphs with Small Interventions
Learning Causal Graphs with Small Interventions
Karthikeyan Shanmugam
Murat Kocaoglu
A. Dimakis
S. Vishwanath
CML
89
106
0
30 Oct 2015
Causal inference using invariant prediction: identification and
  confidence intervals
Causal inference using invariant prediction: identification and confidence intervals
J. Peters
Peter Buhlmann
N. Meinshausen
OOD
114
966
0
06 Jan 2015
Distinguishing cause from effect using observational data: methods and
  benchmarks
Distinguishing cause from effect using observational data: methods and benchmarks
Joris M. Mooij
J. Peters
Dominik Janzing
Jakob Zscheischler
Bernhard Schölkopf
CML
79
136
0
11 Dec 2014
Lazier Than Lazy Greedy
Lazier Than Lazy Greedy
Baharan Mirzasoleiman
Ashwinkumar Badanidiyuru
Amin Karbasi
J. Vondrák
Andreas Krause
57
406
0
28 Sep 2014
An Algorithm for Deciding if a Set of Observed Independencies Has a
  Causal Explanation
An Algorithm for Deciding if a Set of Observed Independencies Has a Causal Explanation
Thomas Verma
Judea Pearl
CML
90
298
0
13 Mar 2013
On the Number of Experiments Sufficient and in the Worst Case Necessary
  to Identify All Causal Relations Among N Variables
On the Number of Experiments Sufficient and in the Worst Case Necessary to Identify All Causal Relations Among N Variables
F. Eberhardt
Clark Glymour
R. Scheines
86
153
0
04 Jul 2012
On Causal and Anticausal Learning
On Causal and Anticausal Learning
Bernhard Schölkopf
Dominik Janzing
J. Peters
Eleni Sgouritsa
Kun Zhang
Joris Mooij
CML
81
607
0
27 Jun 2012
Identifiability of Gaussian structural equation models with equal error
  variances
Identifiability of Gaussian structural equation models with equal error variances
J. Peters
Peter Buhlmann
CML
167
336
0
11 May 2012
Directed Information Graphs
Directed Information Graphs
Christopher J. Quinn
Negar Kiyavash
Todd P. Coleman
CML
107
148
0
09 Apr 2012
On the Validity of Covariate Adjustment for Estimating Causal Effects
On the Validity of Covariate Adjustment for Estimating Causal Effects
I. Shpitser
T. VanderWeele
J. M. Robins
CML
79
203
0
15 Mar 2012
Bayesian Model Averaging Using the k-best Bayesian Network Structures
Bayesian Model Averaging Using the k-best Bayesian Network Structures
Jin Tian
Ru He
Lavanya Ram
BDL
CML
109
43
0
15 Mar 2012
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