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.2022/815

Markdown

[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.2022/815

BibTeX

@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/}
}