GFlowCausal: Generative Flow Networks for Causal Discovery

v1v2 (latest)

GFlowCausal: Generative Flow Networks for Causal Discovery

15 October 2022

Jianye Hao

ArXiv (abs)PDF HTML

Papers citing "GFlowCausal: Generative Flow Networks for Causal Discovery"

14 / 14 papers shown

Title
Reinforcement Causal Structure Learning on Order Graph Dezhi Yang Guoxian Yu Jun Wang Zhe Wu Maozu Guo BDL CML 100 16 0 22 Nov 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 96 155 0 28 Feb 2022
Flow Network based Generative Models for Non-Iterative Diverse Candidate Generation Emmanuel Bengio Moksh Jain Maksym Korablyov Doina Precup Yoshua Bengio 101 331 0 08 Jun 2021
Beware of the Simulated DAG! Causal Discovery Benchmarks May Be Easy To Game Alexander G. Reisach C. Seiler S. Weichwald CML 66 142 0 26 Feb 2021
DAGs with No Fears: A Closer Look at Continuous Optimization for Learning Bayesian Networks Dennis L. Wei Tian Gao Yue Yu CML 80 71 0 18 Oct 2020
Causal Adversarial Network for Learning Conditional and Interventional Distributions Raha Moraffah Bahman Moraffah Mansooreh Karami A. Raglin Huan Liu OOD GAN CML 74 21 0 26 Aug 2020
Gradient-Based Neural DAG Learning Sébastien Lachapelle P. Brouillard T. Deleu Simon Lacoste-Julien BDL CML 62 275 0 05 Jun 2019
DAG-GNN: DAG Structure Learning with Graph Neural Networks Yue Yu Jie Chen Tian Gao Mo Yu BDL CML GNN 80 489 0 22 Apr 2019
A Constraint-Based Algorithm For Causal Discovery with Cycles, Latent Variables and Selection Bias Eric V. Strobl CML 55 30 0 05 May 2018
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor Tuomas Haarnoja Aurick Zhou Pieter Abbeel Sergey Levine 311 8,352 0 04 Jan 2018
Auto-Encoding Variational Bayes Diederik P. Kingma Max Welling BDL 452 16,929 0 20 Dec 2013
CAM: Causal additive models, high-dimensional order search and penalized regression Peter Buhlmann J. Peters J. Ernest CML 119 325 0 06 Oct 2013
Causal Discovery with Continuous Additive Noise Models Jonas Peters Joris Mooij Dominik Janzing Bernhard Schölkopf CML 103 571 0 26 Sep 2013
Learning Bayesian Networks: The Combination of Knowledge and Statistical Data David Heckerman D. Geiger D. M. Chickering TPM 117 3,982 0 27 Feb 2013