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Differentiable Multi-Target Causal Bayesian Experimental Design

Differentiable Multi-Target Causal Bayesian Experimental Design

21 February 2023
Yashas Annadani
P. Tigas
Desi R. Ivanova
Andrew Jesson
Y. Gal
Adam Foster
Stefan Bauer
    BDL
    CML
ArXivPDFHTML

Papers citing "Differentiable Multi-Target Causal Bayesian Experimental Design"

4 / 4 papers shown
Title
ProDAG: Projection-Induced Variational Inference for Directed Acyclic Graphs
ProDAG: Projection-Induced Variational Inference for Directed Acyclic Graphs
Ryan Thompson
Edwin V. Bonilla
Robert Kohn
40
0
0
24 May 2024
A Unified Experiment Design Approach for Cyclic and Acyclic Causal
  Models
A Unified Experiment Design Approach for Cyclic and Acyclic Causal Models
Ehsan Mokhtarian
Saber Salehkaleybar
AmirEmad Ghassami
Negar Kiyavash
29
3
0
20 May 2022
BCD Nets: Scalable Variational Approaches for Bayesian Causal Discovery
BCD Nets: Scalable Variational Approaches for Bayesian Causal Discovery
Chris Cundy
Aditya Grover
Stefano Ermon
CML
40
72
0
06 Dec 2021
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
285
9,136
0
06 Jun 2015
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