Nicolás Astorga
7 papers · 2020–2025 · 5 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓
🌍
Conference Polyglot · Silver
🏃
Academic Marathon · Sprint
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(13)
Top co-authors
Research topics
Keywords
large language model
(5)
few-shot learning
(1)
decision making
(1)
feature selection
(1)
in-context learning
(1)
question generation
(1)
uncertainty reduction
(1)
bayesian experimental design
(1)
partial observability
(1)
bayesian optimization
(1)
hyperparameter tuning
(1)
monte carlo tree search
(1)
information gain
(1)
cost-aware learning
(1)
surrogate model
(1)
treatment effect estimation
(1)
digital twin
(1)
conditional average treatment effect
(1)
surrogate modeling
(1)
active feature acquisition
(1)
Papers
Active Feature Acquisition for Personalised Treatment Assignment
AISTATS 2025
Active Task Disambiguation with LLMs
ICLR 2025
Autoformulation of Mathematical Optimization Models Using LLMs
ICML 2025
Continuously Updating Digital Twins using Large Language Models
ICML 2025
Active Learning with LLMs for Partially Observed and Cost-Aware Scenarios
NeurIPS 2024
Large Language Models to Enhance Bayesian Optimization
ICLR 2024
MPCC: Matching Priors and Conditionals for Clustering
ECCV 2020