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Towards Scalable Bayesian Learning of Causal DAGs

30 September 2020

Papers citing "Towards Scalable Bayesian Learning of Causal DAGs"

25 / 25 papers shown

Title
Scalable Variational Causal Discovery Unconstrained by Acyclicity Nu Hoang Bao Duong Thin Nguyen CML 97 0 0 06 Jul 2024
Scalable Differentiable Causal Discovery in the Presence of Latent Confounders with Skeleton Posterior (Extended Version) Pingchuan Ma Rui Ding Qiang Fu Jiaru Zhang Shuai Wang Shi Han Dongmei Zhang CML 95 2 0 15 Jun 2024
A new way to evaluate G-Wishart normalising constants via Fourier analysis Ching Wong G. Moffa Jack Kuipers 30 2 0 10 Apr 2024
Effective Bayesian Causal Inference via Structural Marginalisation and Autoregressive Orders Christian Toth Christian Knoll Franz Pernkopf Robert Peharz CML 153 1 0 22 Feb 2024
Bayesian Causal Inference with Gaussian Process Networks Enrico Giudice Jack Kuipers G. Moffa 73 1 0 01 Feb 2024
Bayesian Approach to Linear Bayesian Networks Seyong Hwang Kyoungjae Lee Sunmin Oh Gunwoong Park 82 1 0 27 Nov 2023
CoLiDE: Concomitant Linear DAG Estimation S. S. Saboksayr Gonzalo Mateos Mariano Tepper CML 77 5 0 04 Oct 2023
Benchmarking Bayesian Causal Discovery Methods for Downstream Treatment Effect Estimation Chris C. Emezue Alexandre Drouin T. Deleu Stefan Bauer Yoshua Bengio CML 84 2 0 11 Jul 2023
A Bayesian Take on Gaussian Process Networks Enrico Giudice Jack Kuipers G. Moffa GP 90 3 0 20 Jun 2023
Joint Bayesian Inference of Graphical Structure and Parameters with a Single Generative Flow Network T. Deleu Mizu Nishikawa-Toomey Jithendaraa Subramanian Nikolay Malkin Laurent Charlin Yoshua Bengio BDL 126 46 0 30 May 2023
CMVAE: Causal Meta VAE for Unsupervised Meta-Learning Guodong Qi Huimin Yu CML SSL 79 5 0 20 Feb 2023
GFlowNets for AI-Driven Scientific Discovery Moksh Jain T. Deleu Jason S. Hartford Cheng-Hao Liu Alex Hernandez-Garcia Yoshua Bengio AI4CE 94 55 0 01 Feb 2023
Learning Latent Structural Causal Models Jithendaraa Subramanian Yashas Annadani Ivaxi Sheth Nan Rosemary Ke T. Deleu Stefan Bauer Derek Nowrouzezahrai Samira Ebrahimi Kahou CML 94 7 0 24 Oct 2022
Latent Variable Models for Bayesian Causal Discovery Jithendaraa Subramanian Yashas Annadani Ivaxi Sheth Stefan Bauer Derek Nowrouzezahrai Samira Ebrahimi Kahou CML BDL 60 1 0 12 Jul 2022
The interventional Bayesian Gaussian equivalent score for Bayesian causal inference with unknown soft interventions Jack Kuipers G. Moffa CML 41 6 0 05 May 2022
Tractable Uncertainty for Structure Learning Benjie Wang Matthew Wicker Marta Z. Kwiatkowska CML TPM 78 12 0 29 Apr 2022
Differentiable DAG Sampling Bertrand Charpentier Simon Kibler Stephan Günnemann 100 42 0 16 Mar 2022
Bayesian Structure Learning with Generative Flow Networks T. Deleu António Góis Chris C. Emezue M. Rankawat Simon Lacoste-Julien Stefan Bauer Yoshua Bengio BDL 109 157 0 28 Feb 2022
The Dual PC Algorithm and the Role of Gaussianity for Structure Learning of Bayesian Networks Enrico Giudice Jack Kuipers G. Moffa CML 137 5 0 16 Dec 2021
BCD Nets: Scalable Variational Approaches for Bayesian Causal Discovery Chris Cundy Aditya Grover Stefano Ermon CML 95 72 0 06 Dec 2021
Scalable Bayesian Network Structure Learning with Splines Charupriya Sharma P. V. Beek 28 2 0 27 Oct 2021
Simultaneous Missing Value Imputation and Structure Learning with Groups Pablo Morales-Álvarez Wenbo Gong A. Lamb Simon Woodhead Simon L. Peyton Jones Nick Pawlowski Miltiadis Allamanis Cheng Zhang 138 18 0 15 Oct 2021
A survey of Bayesian Network structure learning N. K. Kitson Anthony C. Constantinou Zhi-gao Guo Yang Liu Kiattikun Chobtham CML 106 198 0 23 Sep 2021
Interactive Causal Structure Discovery in Earth System Sciences Laila Melkas Rafael Savvides Suyog H. Chandramouli J. Mäkelä T. Nieminen I. Mammarella Kai Puolamäki CML 113 6 0 01 Jul 2021
Context-Specific Causal Discovery for Categorical Data Using Staged Trees Manuele Leonelli Gherardo Varando CML 60 19 0 08 Jun 2021