ML Anthology

Astorga, Nicolás

10 publications

AISTATS 2025 Active Feature Acquisition for Personalised Treatment Assignment Julianna Piskorz, Nicolás Astorga, Jeroen Berrevoets, Mihaela Schaar
ICLR 2025 Active Task Disambiguation with LLMs Kasia Kobalczyk, Nicolás Astorga, Tennison Liu, Mihaela van der Schaar
ICML 2025 Autoformulation of Mathematical Optimization Models Using LLMs Nicolás Astorga, Tennison Liu, Yuanzhang Xiao, Mihaela Van Der Schaar
ICML 2025 Continuously Updating Digital Twins Using Large Language Models Harry Amad, Nicolás Astorga, Mihaela Van Der Schaar
NeurIPS 2025 Timely Clinical Diagnosis Through Active Test Selection Silas Ruhrberg Estévez, Nicolás Astorga, Mihaela van der Schaar
NeurIPS 2024 Active Learning with LLMs for Partially Observed and Cost-Aware Scenarios Nicolás Astorga, Tennison Liu, Nabeel Seedat, Mihaela van der Schaar
NeurIPSW 2024 Improving LLM Generation with Inverse and Forward Alignment: Reward Modeling, Prompting, Fine-Tuning, and Inference-Time Optimization Hao Sun, Thomas Pouplin, Nicolás Astorga, Tennison Liu, Mihaela van der Schaar
NeurIPSW 2024 Improving LLM Generation with Inverse and Forward Alignment: Reward Modeling, Prompting, Fine-Tuning, and Inference-Time Optimization Hao Sun, Thomas Pouplin, Nicolás Astorga, Tennison Liu, Mihaela van der Schaar
ICLR 2024 Large Language Models to Enhance Bayesian Optimization Tennison Liu, Nicolás Astorga, Nabeel Seedat, Mihaela van der Schaar
ECCV 2020 MPCC: Matching Priors and Conditionals for Clustering Nicolás Astorga, Pablo Huijse, Pavlos Protopapas, Pablo Estévez