5 papers
The Limits of AI-Driven Allocation: Optimal Screening under Aleatoric Uncertainty
Santiago Cortes-Gomez, Mateo Dulce Rubio, Carlos Patino +1
The rise of machine learning has shifted targeted resource allocation in policy and humanitarian settings toward algorithmic targeting based on predicted risk scores. This approach…
SESGO: Spanish Evaluation of Stereotypical Generative Outputs
Melissa Robles, Catalina Bernal, Denniss Raigoso +1
This paper addresses the critical gap in evaluating bias in multilingual Large Language Models (LLMs), with a specific focus on Spanish language within culturally-aware Latin Ameri…
Sequentially Auditing Differential Privacy
Tomás González, Mateo Dulce-Rubio, Aaditya Ramdas +1
We propose a practical sequential test for auditing differential privacy guarantees of black-box mechanisms. The test processes streams of mechanisms' outputs providing anytime-val…
Conformal Mixed-Integer Constraint Learning with Feasibility Guarantees
Daniel Ovalle, Lorenz T. Biegler, Ignacio E. Grossmann +2
We propose Conformal Mixed-Integer Constraint Learning (C-MICL), a novel framework that provides probabilistic feasibility guarantees for data-driven constraints in optimization pr…
Statistical Inference Under Constrained Selection Bias
Santiago Cortes-Gomez, Mateo Dulce, Carlos Patino +1
Large-scale datasets are increasingly being used to inform decision making. While this effort aims to ground policy in real-world evidence, challenges have arisen as selection bias…