7 citations · 9 across the 3 of their papers we have counts for
3 papers
cs.LG2026★ 2 cited
DAGAF: A directed acyclic generative adversarial framework for joint structure learning and tabular data synthesis
Hristo Petkov, Calum MacLellan, Feng Dong
Understanding the causal relationships between data variables can provide crucial insights into the construction of tabular datasets. Most existing causality learning methods typic…
cs.LG2022
Causality Learning With Wasserstein Generative Adversarial Networks
Hristo Petkov, Colin Hanley, Feng Dong
Conventional methods for causal structure learning from data face significant challenges due to combinatorial search space. Recently, the problem has been formulated into a continu…
cs.LG2022★ 7 cited
DAG-WGAN: Causal Structure Learning With Wasserstein Generative Adversarial Networks
Hristo Petkov, Colin Hanley, Feng Dong
The combinatorial search space presents a significant challenge to learning causality from data. Recently, the problem has been formulated into a continuous optimization framework…