A Graph Autoencoder Approach to Causal Structure Learning

A Graph Autoencoder Approach to Causal Structure Learning

18 November 2019

Papers citing "A Graph Autoencoder Approach to Causal Structure Learning"

12 / 12 papers shown

Title
Recovering Linear Causal Models with Latent Variables via Cholesky Factorization of Covariance Matrix Yunfeng Cai Xu Li Ming Sun Ping Li CML 21 1 0 01 Nov 2023
A Survey on Causal Discovery Methods for I.I.D. and Time Series Data Uzma Hasan Emam Hossain Md. Osman Gani CML AI4TS 26 24 0 27 Mar 2023
Directed Acyclic Graphs With Tears Zhichao Chen Zhiqiang Ge CML 28 5 0 04 Feb 2023
On Root Cause Localization and Anomaly Mitigation through Causal Inference Xiao Han Lu Zhang Yongkai Wu Shuhan Yuan 26 7 0 08 Dec 2022
Deep Causal Learning: Representation, Discovery and Inference Zizhen Deng Xiaolong Zheng Hu Tian D. Zeng CML BDL 28 11 0 07 Nov 2022
gCastle: A Python Toolbox for Causal Discovery Keli Zhang Shengyu Zhu Marcus Kalander Ignavier Ng Junjian Ye Zhitang Chen Lujia Pan CML 24 60 0 30 Nov 2021
Towards Federated Bayesian Network Structure Learning with Continuous Optimization Ignavier Ng Kun Zhang FedML 42 38 0 18 Oct 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 33 42 0 06 Sep 2021
Ordering-Based Causal Discovery with Reinforcement Learning Xiaoqiang Wang Yali Du Shengyu Zhu Liangjun Ke Zhitang Chen Jianye Hao Jun Wang CML 23 63 0 14 May 2021
D'ya like DAGs? A Survey on Structure Learning and Causal Discovery M. Vowels Necati Cihan Camgöz Richard Bowden CML 32 296 0 03 Mar 2021
CausalVAE: Structured Causal Disentanglement in Variational Autoencoder Mengyue Yang Furui Liu Zhitang Chen Xinwei Shen Jianye Hao Jun Wang OOD CoGe CML 28 44 0 18 Apr 2020
Causal Inference and Causal Explanation with Background Knowledge Christopher Meek CML 216 626 0 20 Feb 2013