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cs.LG2026
Set-Valued Policy Learning
Laura Fuentes-Vicente, Mathieu Even, Gaëlle Dormion +3
Conventional treatment policies map patient covariates to a single recommended intervention in order to maximize expected clinical outcomes. However, when multiple treatments yield…
cs.LG2026
INSIGHTS: Demonstration-Based Summaries of Time Series Predictors
Bar Eini Porat, Rom Gutman, Uri Shalit +1
Explainability methods have progressed rapidly, but global explanations for time-series models remain underdeveloped, with most approaches focusing on local, instance-level attribu…
cs.LG2025
Set Valued Predictions For Robust Domain Generalization
Ron Tsibulsky, Daniel Nevo, Uri Shalit
Despite the impressive advancements in modern machine learning, achieving robustness in Domain Generalization (DG) tasks remains a significant challenge. In DG, models are expected…