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. 2406.03209
  4. Cited By
Challenges and Considerations in the Evaluation of Bayesian Causal
  Discovery

Challenges and Considerations in the Evaluation of Bayesian Causal Discovery

5 June 2024
Amir Mohammad Karimi Mamaghan
P. Tigas
Karl Henrik Johansson
Yarin Gal
Yashas Annadani
Stefan Bauer
    CML
ArXivPDFHTML

Papers citing "Challenges and Considerations in the Evaluation of Bayesian Causal Discovery"

4 / 4 papers shown
Title
DiscoBAX: Discovery of Optimal Intervention Sets in Genomic Experiment
  Design
DiscoBAX: Discovery of Optimal Intervention Sets in Genomic Experiment Design
Clare Lyle
Arash Mehrjou
Pascal Notin
Andrew Jesson
Stefan Bauer
Y. Gal
Patrick Schwab
43
10
0
07 Dec 2023
Causal machine learning for single-cell genomics
Causal machine learning for single-cell genomics
Alejandro Tejada-Lapuerta
Paul Bertin
Stefan Bauer
H. Aliee
Yoshua Bengio
Fabian J. Theis
CML
31
14
0
23 Oct 2023
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
Parameter Priors for Directed Acyclic Graphical Models and the
  Characterization of Several Probability Distributions
Parameter Priors for Directed Acyclic Graphical Models and the Characterization of Several Probability Distributions
D. Geiger
David Heckerman
117
195
0
05 May 2021
1