publications

2026

1. Neurips

   The Limits of AI-Driven Allocation: Optimal Screening under Aleatoric Uncertainty

   Santiago Cortes-Gomez, Mateo Dulce Rubio, Carlos Patino, and 1 more author

   Neurips, 2026

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2. Position: Healthcare LLM Benchmarks Are Only as Good as Their Explicit Assumptions

   Santiago Cortes-Gomez, and  others

   Submitted, 2026
3. Do LLMs Act Like Rational Agents? Measuring Belief Coherence in Probabilistic Decision Making

   Khurram Yamin, Jingjing Tang, Santiago Cortes-Gomez, and 3 more authors

   Under Revision, 2026

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2025

1. ICLR

   Decision-Focused Uncertainty Quantification

   Santiago Cortes-Gomez, Carlos Patino, Yewon Byun, and 3 more authors

   ICLR, 2025

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2. ICML

   Data-driven Design of Randomized Control Trials with Guaranteed Treatment Effects

   Santiago Cortes-Gomez, Naveen Raman, Aarti Singh, and 1 more author

   ICML, 2025

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3. EMNLP

   Predicting Language Models’ Success at Zero-Shot Probabilistic Prediction

   Kevin Ren, Santiago Cortes-Gomez, Carlos Miguel Patiño, and 7 more authors

   EMNLP, 2025

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2024

1. ICML

   Statistical inference under constrained selection bias

   Santiago Cortes-Gomez, Mateo Dulce, Carlos Patino, and 1 more author

   ICML, 2024

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2023

1. Neurips

   Auditing Fairness by Betting (Spotlight)

   Ben Chugg, Santiago Cortes-Gomez, Bryan Wilder, and 1 more author

   Neurips, 2023

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2021

1. Bull. Math. Biol

   Alternative Strategies for the Estimation of a Disease’s Basic Reproduction Number: A Model-Agnostic Study

   Gustavo Nicolás Páez, Juan Felipe Cerón, Santiago Cortés, and 6 more authors

   Bulletin of Mathematical Biology, 2021

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2020

1. Neurips

   Unsupervised learning for economic risk evaluation in the context of Covid-19 pandemic (Selected for contributed talk)

   Santiago Cortes, and Yullys M Quintero

   Neurips ML4D workshop, 2020

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