Integrating Machine Learning and Optimization to Boost Decision Making

Ferdinando Fioretto

IJCAI 2022poster4 citations

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.

EC: Machine LearningEC: Combinatorial Optimization

BibTeX

@inproceedings{ijcai2022p815,
  title     = {Integrating Machine Learning and Optimization to Boost Decision Making},
  author    = {Fioretto, Ferdinando},
  booktitle = {Proceedings of the Thirty-First International Joint Conference on
               Artificial Intelligence, {IJCAI-22}},
  publisher = {International Joint Conferences on Artificial Intelligence Organization},
  editor    = {Lud De Raedt},
  pages     = {5808--5812},
  year      = {2022},
  month     = {7},
  note      = {Early Career},
  doi       = {10.24963/ijcai.2022/815},
  url       = {https://doi.org/10.24963/ijcai.2022/815},
}