FruBO: datasets and code
Abstract
This repository holds the synthetic and real-world case datasets, that serve as benchmarks for optimiziation approaches, that accompany the submission of the work "Frugal Bayesian Optimization: Scalable Surrogates for Data- and Resource-Limited Discovery". The repository is made available for anonymous peer review. Identifying metadata (authors, affiliations, funding sources) has been temporarily removed to comply with double-blind review policies.Upon acceptance of the associated manuscript, the record will be updated to restore full metadata and acknowledgements.
Fields of Study & Subjects
Advanced Bandit Algorithms Research
Advanced Multi-Objective Optimization Algorithms
Optimal Experimental Design Methods
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 9 January 2026
- Language
- EN
- Document type
- Dataset