Integrating Machine Learning and Optimization to Boost Decision Making
Abstract
This paper presents a conceptual review of our recent advancements in the integration of machine learning and optimization. It focuses on describing new hybrid machine learning and optimization methods to predict fast, approximate, solutions to combinatorial problems and to enable structural logical inference.
Cite
Text
Fioretto. "Integrating Machine Learning and Optimization to Boost Decision Making." International Joint Conference on Artificial Intelligence, 2022. doi:10.24963/IJCAI.2022/815Markdown
[Fioretto. "Integrating Machine Learning and Optimization to Boost Decision Making." International Joint Conference on Artificial Intelligence, 2022.](https://mlanthology.org/ijcai/2022/fioretto2022ijcai-integrating/) doi:10.24963/IJCAI.2022/815BibTeX
@inproceedings{fioretto2022ijcai-integrating,
title = {{Integrating Machine Learning and Optimization to Boost Decision Making}},
author = {Fioretto, Ferdinando},
booktitle = {International Joint Conference on Artificial Intelligence},
year = {2022},
pages = {5808-5812},
doi = {10.24963/IJCAI.2022/815},
url = {https://mlanthology.org/ijcai/2022/fioretto2022ijcai-integrating/}
}