Open problems in causal structure learning: A case study of COVID-19 in
the UK

Open problems in causal structure learning: A case study of COVID-19 in the UK

5 May 2023

Anthony C. Constantinou

Yang Liu

Kiattikun Chobtham

Arian Hashemzadeh

Praharsh Nanavati

Bruno Petrungaro

Papers citing "Open problems in causal structure learning: A case study of COVID-19 in the UK"

10 / 10 papers shown

Title
Stable Structure Learning with HC-Stable and Tabu-Stable Algorithms N. K. Kitson Anthony C. Constantinou 44 0 0 02 Apr 2025
Using GPT-4 to guide causal machine learning Anthony C. Constantinou N. K. Kitson Alessio Zanga CML 31 1 0 26 Jul 2024
Investigating potential causes of Sepsis with Bayesian network structure learning Bruno Petrungaro N. K. Kitson Anthony C. Constantinou CML 57 0 0 13 Jun 2024
Investigating the validity of structure learning algorithms in identifying risk factors for intervention in patients with diabetes Sheresh Zahoor Anthony C. Constantinou Tim M Curtis Mohammed Hasanuzzaman CML 24 0 0 21 Mar 2024
Tuning structure learning algorithms with out-of-sample and resampling strategies Kiattikun Chobtham Anthony C. Constantinou CML 23 2 0 24 Jun 2023
The Impact of Variable Ordering on Bayesian Network Structure Learning N. K. Kitson Anthony C. Constantinou CML 24 9 0 17 Jun 2022
Bayesian structure learning and sampling of Bayesian networks with the R package BiDAG Polina Suter Jack Kuipers G. Moffa N. Beerenwinkel 53 39 0 02 May 2021
Masked Gradient-Based Causal Structure Learning Ignavier Ng Shengyu Zhu Zhuangyan Fang Haoyang Li Zhitang Chen Jun Wang CML 83 117 0 18 Oct 2019
Learning Sparse Nonparametric DAGs Xun Zheng Chen Dan Bryon Aragam Pradeep Ravikumar Eric P. Xing CML 111 258 0 29 Sep 2019
Causal Inference in the Presence of Latent Variables and Selection Bias Peter Spirtes Christopher Meek Thomas S. Richardson CML 147 435 0 20 Feb 2013