This repository contains the python implementation for USeMO from the AAAI 2020 paper "Uncertainty-Aware Search Framework for Multi-Objective Bayesian Optimization".
The implementation handles automatically the batch version of the algorithm by setting the variable "batch_size" to a number higher than 1.
The code is implemented in Python and requires the following packages:
If you use this code please cite our paper:
@inproceedings{belakaria2020uncertainty,
title={Uncertainty-aware search framework for multi-objective Bayesian optimization},
author={Belakaria, Syrine and Deshwal, Aryan and Jayakodi, Nitthilan Kannappan and Doppa, Janardhan Rao},
booktitle={Proceedings of the AAAI Conference on Artificial Intelligence},
volume={34},
number={06},
pages={10044--10052},
year={2020}
}
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