Claudia Iriondo — accepted AI-conference papers

2026

Knowledgeable Language Models as Black-Box Optimizers for Personalized Medicine

Michael S Yao, Osbert Bastani, Alma Andersson, Tommaso Biancalani, Aicha BenTaieb, Claudia Iriondo

ICLR 2026poster

The goal of personalized medicine is to discover a treatment regimen that optimizes a patient's clinical outcome based on their personal genetic and environmental factors. However, candidate treatments cannot be arbitrarily administered to the patient to assess their efficacy; we often instead have…

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2025

Counterfactual Generative Modeling with Variational Causal Inference

Yulun Wu, Louis McConnell, Claudia Iriondo

ICLR 2025poster

Estimating an individual's potential outcomes under counterfactual treatments is a challenging task for traditional causal inference and supervised learning approaches when the outcome is high-dimensional (e.g. gene expressions, facial images) and covariates are relatively limited. In this case, to…

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