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Minimal I-MAP MCMC for Scalable Structure Discovery in Causal DAG Models
v1v2v3 (latest)

Minimal I-MAP MCMC for Scalable Structure Discovery in Causal DAG Models

15 March 2018
Raj Agrawal
Tamara Broderick
Caroline Uhler
    CML
ArXiv (abs)PDFHTML

Papers citing "Minimal I-MAP MCMC for Scalable Structure Discovery in Causal DAG Models"

4 / 4 papers shown
Title
Active Learning for Optimal Intervention Design in Causal Models
Active Learning for Optimal Intervention Design in Causal Models
Jiaqi Zhang
Louis V. Cammarata
C. Squires
T. Sapsis
Caroline Uhler
CML
109
28
0
10 Sep 2022
Causal Structure Learning: a Combinatorial Perspective
Causal Structure Learning: a Combinatorial Perspective
C. Squires
Caroline Uhler
CML
120
47
0
02 Jun 2022
Variational Causal Networks: Approximate Bayesian Inference over Causal
  Structures
Variational Causal Networks: Approximate Bayesian Inference over Causal Structures
Yashas Annadani
Jonas Rothfuss
Alexandre Lacoste
Nino Scherrer
Anirudh Goyal
Yoshua Bengio
Stefan Bauer
BDLCML
84
48
0
14 Jun 2021
Optimal experimental design via Bayesian optimization: active causal
  structure learning for Gaussian process networks
Optimal experimental design via Bayesian optimization: active causal structure learning for Gaussian process networks
Julius von Kügelgen
Paul Kishan Rubenstein
Bernhard Schölkopf
Adrian Weller
CML
78
20
0
09 Oct 2019
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