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Causal Discovery with Reinforcement Learning

11 June 2019

Papers citing "Causal Discovery with Reinforcement Learning"

25 / 75 papers shown

Title
Scalable Causal Structure Learning: Scoping Review of Traditional and Deep Learning Algorithms and New Opportunities in Biomedicine Pulakesh Upadhyaya Kai Zhang Can Li Xiaoqian Jiang Yejin Kim CML 74 9 0 15 Oct 2021
A Survey of Deep Reinforcement Learning in Recommender Systems: A Systematic Review and Future Directions Xiaocong Chen L. Yao Julian McAuley Guanglin Zhou Xianzhi Wang AI4TS 79 62 0 08 Sep 2021
Learning Neural Causal Models with Active Interventions Nino Scherrer O. Bilaniuk Yashas Annadani Anirudh Goyal Patrick Schwab Bernhard Schölkopf Michael C. Mozer Yoshua Bengio Stefan Bauer Nan Rosemary Ke CML 123 44 0 06 Sep 2021
Efficient Neural Causal Discovery without Acyclicity Constraints Phillip Lippe Taco S. Cohen E. Gavves CML 102 72 0 22 Jul 2021
DAGs with No Curl: An Efficient DAG Structure Learning Approach Yue Yu Tian Gao Naiyu Yin Q. Ji CML 78 60 0 14 Jun 2021
On the Role of Entropy-based Loss for Learning Causal Structures with Continuous Optimization Weilin Chen Jie Qiao Ruichu Cai Zijian Li CML 66 3 0 05 Jun 2021
Ordering-Based Causal Discovery with Reinforcement Learning Xiaoqiang Wang Yali Du Shengyu Zhu Liangjun Ke Zhitang Chen Jianye Hao Jun Wang CML 84 64 0 14 May 2021
D'ya like DAGs? A Survey on Structure Learning and Causal Discovery M. Vowels Necati Cihan Camgöz Richard Bowden CML 147 305 0 03 Mar 2021
Towards Efficient Local Causal Structure Learning shuai Yang Hao Wang Kui Yu Fuyuan Cao Xindong Wu CML 44 23 0 28 Feb 2021
Efficient and Scalable Structure Learning for Bayesian Networks: Algorithms and Applications Rong Zhu A. Pfadler Ziniu Wu Yuxing Han Xiaoke Yang Feng Ye Zhenping Qian Jingren Zhou Tengjiao Wang 79 9 0 07 Dec 2020
On the Convergence of Continuous Constrained Optimization for Structure Learning Ignavier Ng Sébastien Lachapelle Nan Rosemary Ke Simon Lacoste-Julien Kun Zhang 105 38 0 23 Nov 2020
A novel method for Causal Structure Discovery from EHR data, a demonstration on type-2 diabetes mellitus Xinpeng Shen Sisi Ma P. Vemuri Regina Castro P. Caraballo György J. Simon CML 32 2 0 11 Nov 2020
Controlling Graph Dynamics with Reinforcement Learning and Graph Neural Networks E. Meirom Haggai Maron Shie Mannor Gal Chechik 59 49 0 11 Oct 2020
CASTLE: Regularization via Auxiliary Causal Graph Discovery Trent Kyono Yao Zhang M. Schaar OOD CML 78 69 0 28 Sep 2020
Causal Adversarial Network for Learning Conditional and Interventional Distributions Raha Moraffah Bahman Moraffah Mansooreh Karami A. Raglin Huan Liu OOD GAN CML 87 21 0 26 Aug 2020
Differentiable Causal Discovery from Interventional Data P. Brouillard Sébastien Lachapelle Alexandre Lacoste Simon Lacoste-Julien Alexandre Drouin CML 99 191 0 03 Jul 2020
On the Role of Sparsity and DAG Constraints for Learning Linear DAGs Ignavier Ng AmirEmad Ghassami Kun Zhang CML 91 189 0 17 Jun 2020
On Low Rank Directed Acyclic Graphs and Causal Structure Learning Zhuangyan Fang Shengyu Zhu Jiji Zhang Yue Liu Zhitang Chen Yangbo He CML 89 28 0 10 Jun 2020
Causal Discovery from Incomplete Data using An Encoder and Reinforcement Learning Xiaoshui Huang Fujin Zhu Lois Holloway Ali Haidar CML 43 10 0 09 Jun 2020
Supervised Whole DAG Causal Discovery Hebi Li Qi Xiao Jin Tian CML 63 18 0 08 Jun 2020
CausalVAE: Structured Causal Disentanglement in Variational Autoencoder Mengyue Yang Furui Liu Zhitang Chen Xinwei Shen Jianye Hao Jun Wang OOD CoGe CML 154 45 0 18 Apr 2020
A theory of independent mechanisms for extrapolation in generative models M. Besserve Rémy Sun Dominik Janzing Bernhard Schölkopf 85 26 0 01 Apr 2020
Causally Correct Partial Models for Reinforcement Learning Danilo Jimenez Rezende Ivo Danihelka George Papamakarios Nan Rosemary Ke Ray Jiang ... Jane X. Wang Jovana Mitrović F. Besse Ioannis Antonoglou Lars Buesing AI4TS 100 34 0 07 Feb 2020
Masked Gradient-Based Causal Structure Learning Ignavier Ng Shengyu Zhu Zhuangyan Fang Haoyang Li Zhitang Chen Jun Wang CML 149 117 0 18 Oct 2019
Learning Neural Causal Models from Unknown Interventions Nan Rosemary Ke O. Bilaniuk Anirudh Goyal Stefan Bauer Hugo Larochelle Bernhard Schölkopf Michael C. Mozer C. Pal Yoshua Bengio CML OOD 117 170 0 02 Oct 2019