4 papers
Tree of Concepts: Interpretable Continual Learners in Non-Stationary Clinical Domains
Dongkyu Cho, Xiyue Li, Samrachana Adhikari +1
Continual learning aims to update models under distribution shift without forgetting, yet many high-stakes deployments, such as healthcare, also require interpretability. In practi…
Causal Survival Analysis in Platform Trials with Non-Concurrent Controls
Antonio D'Alessandro, Samrachana Adhikari, Michele Santacatterina
Platform trials allow treatment arms to enter and exit over time while maintaining a shared control arm, yielding concurrent and non-concurrent controls (NCC). Pooling NCC is often…
Modern Causal Inference Approaches to Improve Power for Subgroup Analysis in Randomized Controlled Trials
Antonio D'Alessandro, Jiyu Kim, Samrachana Adhikari +3
Randomized controlled trials (RCTs) often include subgroup analyses to assess whether treatment effects vary across pre-specified patient populations. However, these analyses frequ…
Domain Adaptation Under MNAR Missingness
Tyrel Stokes, Hyungrok Do, Saul Blecker +2
Current domain adaptation methods under missingness shift are restricted to Missing At Random (MAR) missingness mechanisms. However, in many real-world examples, the MAR assumption…