4 papers
Unsupervised domain adaptation under hidden confounding
Carlos GarcÃa Meixide, David RÃos Insua
We introduce a new predictive mechanism that operates in the presence of hidden confounding across distributionally diverse data sources while ensuring consistent estimation of cau…
Colorectal cancer risk mapping through Bayesian Networks
Daniel Corrales, Alejandro Santos-Lozano, Susana López-Ortiz +2
Background and Objective: Only about 14 % of eligible EU citizens finally participate in colorectal cancer (CRC) screening programs despite it being the third most common type of c…
Personalized Pricing Decisions Through Adversarial Risk Analysis
Daniel GarcÃa Rasines, Roi Naveiro, David RÃos Insua +1
Pricing decisions stand out as one of the most critical tasks a company faces, particularly in today's digital economy. As with other business decision-making problems, pricing unf…
A framework for expected capability sets
Nicolas Fayard, David RÃos Insua, Alexis Tsoukià s
This paper addresses decision-aiding problems that involve multiple objectives and uncertain states of the world. Inspired by the capability approach, we focus on cases where a pol…