Bayesian learning of Causal Structure and Mechanisms with GFlowNets and Variational Bayes

4 November 2022

Papers citing "Bayesian learning of Causal Structure and Mechanisms with GFlowNets and Variational Bayes"

7 / 7 papers shown

Title
Adaptive teachers for amortized samplers Minsu Kim Sanghyeok Choi Taeyoung Yun Emmanuel Bengio Leo Feng Jarrid Rector-Brooks Sungsoo Ahn Jinkyoo Park Nikolay Malkin Yoshua Bengio 49 2 0 02 Oct 2024
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 23 43 0 30 May 2023
Passive learning of active causal strategies in agents and language models Andrew Kyle Lampinen Stephanie C. Y. Chan Ishita Dasgupta A. Nam Jane X. Wang 22 15 0 25 May 2023
Stochastic Generative Flow Networks L. Pan Dinghuai Zhang Moksh Jain Longbo Huang Yoshua Bengio BDL 24 30 0 19 Feb 2023
A theory of continuous generative flow networks Salem Lahlou T. Deleu Pablo Lemos Dinghuai Zhang Alexandra Volokhova Alex Hernández-García Léna Néhale Ezzine Yoshua Bengio Nikolay Malkin AI4CE 19 79 0 30 Jan 2023
Trajectory balance: Improved credit assignment in GFlowNets Nikolay Malkin Moksh Jain Emmanuel Bengio Chen Sun Yoshua Bengio 145 165 0 31 Jan 2022
BCD Nets: Scalable Variational Approaches for Bayesian Causal Discovery Chris Cundy Aditya Grover Stefano Ermon CML 32 71 0 06 Dec 2021