Structural Agnostic Modeling: Adversarial Learning of Causal Graphs

Structural Agnostic Modeling: Adversarial Learning of Causal Graphs

13 March 2018

Diviyan Kalainathan

Isabelle M Guyon

David Lopez-Paz

Michèle Sebag

Papers citing "Structural Agnostic Modeling: Adversarial Learning of Causal Graphs"

16 / 16 papers shown

Title
ALCM: Autonomous LLM-Augmented Causal Discovery Framework Elahe Khatibi Mahyar Abbasian Zhongqi Yang Iman Azimi Amir M. Rahmani 61 12 0 02 May 2024
Towards Automated Causal Discovery: a case study on 5G telecommunication data Konstantina Biza Antonios Ntroumpogiannis Sofia Triantafillou Ioannis Tsamardinos 31 0 0 22 Feb 2024
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
Emerging Synergies in Causality and Deep Generative Models: A Survey Guanglin Zhou Shaoan Xie Guang-Yuan Hao Shiming Chen Biwei Huang Xiwei Xu Chen Wang Liming Zhu Lina Yao Kun Zhang AI4CE 47 11 0 29 Jan 2023
A Structure-guided Effective and Temporal-lag Connectivity Network for Revealing Brain Disorder Mechanisms Zhengwang Xia Tao Zhou S. Mamoon Amani Alfakih Jianfeng Lu 10 9 0 01 Dec 2022
Large-Scale Differentiable Causal Discovery of Factor Graphs Romain Lopez Jan-Christian Hütter J. Pritchard Aviv Regev CML AI4CE 40 40 0 15 Jun 2022
A Causal Research Pipeline and Tutorial for Psychologists and Social Scientists M. Vowels CML 21 2 0 10 Jun 2022
Do learned representations respect causal relationships? Lan Wang Vishnu Naresh Boddeti NAI CML OOD 15 6 0 02 Apr 2022
Differentiable Causal Discovery Under Latent Interventions Gonccalo R. A. Faria André F. T. Martins Mário A. T. Figueiredo BDL CML OOD 32 22 0 04 Mar 2022
Towards Federated Bayesian Network Structure Learning with Continuous Optimization Ignavier Ng Kun Zhang FedML 39 37 0 18 Oct 2021
Application of quantum computing to a linear non-Gaussian acyclic model for novel medical knowledge discovery H. Kawaguchi MedIm 16 6 0 09 Oct 2021
D'ya like DAGs? A Survey on Structure Learning and Causal Discovery M. Vowels Necati Cihan Camgöz Richard Bowden CML 23 296 0 03 Mar 2021
Causal inference using deep neural networks Ye Yuan Xueying Ding Z. Bar-Joseph BDL CML 16 2 0 25 Nov 2020
Revisiting Classifier Two-Sample Tests David Lopez-Paz Maxime Oquab 69 390 0 20 Oct 2016
A Transformational Characterization of Equivalent Bayesian Network Structures D. M. Chickering 151 416 0 20 Feb 2013
A Discovery Algorithm for Directed Cyclic Graphs Thomas S. Richardson CML 78 193 0 13 Feb 2013