9 citations · 18 across the 5 of their papers we have counts for
3 papers · 1 filter
Model-Attentive Ensemble Learning for Sequence Modeling
Victor D. Bourgin, Ioana Bica, Mihaela van der Schaar
Medical time-series datasets have unique characteristics that make prediction tasks challenging. Most notably, patient trajectories often contain longitudinal variations in their i…
Selecting Treatment Effects Models for Domain Adaptation Using Causal Knowledge
Trent Kyono, Ioana Bica, Zhaozhi Qian +1
Selecting causal inference models for estimating individualized treatment effects (ITE) from observational data presents a unique challenge since the counterfactual outcomes are ne…
Learning Matching Representations for Individualized Organ Transplantation Allocation
Can Xu, Ahmed M. Alaa, Ioana Bica +3
Organ transplantation is often the last resort for treating end-stage illness, but the probability of a successful transplantation depends greatly on compatibility between donors a…