BaCaDI: Bayesian Causal Discovery with Unknown Interventions

BaCaDI: Bayesian Causal Discovery with Unknown Interventions

3 June 2022

Alexander Hagele

Vignesh Ram Somnath

Bernhard Schölkopf

Papers citing "BaCaDI: Bayesian Causal Discovery with Unknown Interventions"

17 / 17 papers shown

Title
Causal Bayesian Optimization with Unknown Graphs Jean Durand Yashas Annadani Stefan Bauer S. Parbhoo CML 52 0 0 25 Mar 2025
Characterization and Greedy Learning of Gaussian Structural Causal Models under Unknown Interventions Juan L. Gamella Armeen Taeb C. Heinze-Deml Peter Buhlmann CML 69 7 0 13 Mar 2025
Generative Intervention Models for Causal Perturbation Modeling Nora Schneider Lars Lorch Niki Kilbertus Bernhard Schölkopf Andreas Krause 73 2 0 21 Nov 2024
Sample Efficient Bayesian Learning of Causal Graphs from Interventions Zihan Zhou Muhammad Qasim Elahi Murat Kocaoglu CML 21 0 0 26 Oct 2024
Multi-task Heterogeneous Graph Learning on Electronic Health Records Tsai Hor Chan Guosheng Yin Kyongtae Bae Lequan Yu CML 20 4 0 14 Aug 2024
Simulation-based Benchmarking for Causal Structure Learning in Gene Perturbation Experiments Luka Kovacevic Izzy Newsham Sach Mukherjee John Whittaker CML 26 2 0 08 Jul 2024
Challenges and Considerations in the Evaluation of Bayesian Causal Discovery Amir Mohammad Karimi Mamaghan P. Tigas Karl Henrik Johansson Yarin Gal Yashas Annadani Stefan Bauer CML 29 3 0 05 Jun 2024
Signature Kernel Conditional Independence Tests in Causal Discovery for Stochastic Processes Georg Manten Cecilia Casolo E. Ferrucci Søren Wengel Mogensen C. Salvi Niki Kilbertus CML BDL 18 8 0 28 Feb 2024
Sample, estimate, aggregate: A recipe for causal discovery foundation models Menghua Wu Yujia Bao Regina Barzilay Tommi Jaakkola CML 35 7 0 02 Feb 2024
Bayesian causal discovery from unknown general interventions Alessandro Mascaro F. Castelletti 8 1 0 01 Dec 2023
Learning Linear Gaussian Polytree Models with Interventions D. Tramontano L. Waldmann Mathias Drton Eliana Duarte 16 0 0 08 Nov 2023
Constraint-Free Structure Learning with Smooth Acyclic Orientations Riccardo Massidda Francesco Landolfi Martina Cinquini Davide Bacciu 17 2 0 15 Sep 2023
Learning nonparametric latent causal graphs with unknown interventions Yibo Jiang Bryon Aragam CML 11 24 0 05 Jun 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 17 7 0 24 Oct 2022
BCD Nets: Scalable Variational Approaches for Bayesian Causal Discovery Chris Cundy Aditya Grover Stefano Ermon CML 32 71 0 06 Dec 2021
Parameter Priors for Directed Acyclic Graphical Models and the Characterization of Several Probability Distributions D. Geiger David Heckerman 109 195 0 05 May 2021
Learning Sparse Nonparametric DAGs Xun Zheng Chen Dan Bryon Aragam Pradeep Ravikumar Eric P. Xing CML 101 254 0 29 Sep 2019