2 citations · 2 across the 2 of their papers we have counts for
2 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
Hyper-Learning for Gradient-Based Batch Size Adaptation
Calum Robert MacLellan, Feng Dong
Scheduling the batch size to increase is an effective strategy to control gradient noise when training deep neural networks. Current approaches implement scheduling heuristics that…