4 citations · 4 across the 2 of their papers we have counts for
2 papers
cs.LG2025
Causal Machine Learning Methods for Estimating Personalised Treatment Effects -- Insights on validity from two large trials
Hongruyu Chen, Helena Aebersold, Milo Alan Puhan +1
Causal machine learning (ML) methods hold great promise for advancing precision medicine by estimating personalized treatment effects. However, their reliability remains largely un…
math.OC2022★ 4 cited
Distributional Uncertainty Propagation via Optimal Transport
Liviu Aolaritei, Nicolas Lanzetti, Hongruyu Chen +1
This paper addresses the limitations of standard uncertainty models, e.g., robust (norm-bounded) and stochastic (one fixed distribution, e.g., Gaussian), and proposes to model unce…