NEWS    Arvind Raghunathan's publication is Featured Article in the current issue of the INFORMS Journal on Computing

Date:

April 1, 2022

Where:

INFORMS Journal on Computing (https://pubsonline.informs.org/journal/ijoc)

Description:

Arvind Raghunathan co-authored a publication titled "JANOS: An Integrated Predictive and Prescriptive Modeling Framework" which has been chosen as a Featured Article in the current issue of the INFORMS Journal on Computing. The article was co-authored with Prof. David Bergman, a collaborator of MERL and Teng Huang, a former MERL intern, among others.

The paper describes a new software tool, JANOS, that integrates predictive modeling and discrete optimization to assist decision making. Specifically, the proposed solver takes as input user-specified pretrained predictive models and formulates optimization models directly over those predictive models by embedding them within an optimization model through linear transformations.

External Link:

https://pubsonline.informs.org/doi/epdf/10.1287/ijoc.2020.1023

Research Areas:

Artificial Intelligence, Machine Learning, Optimization

• Related Publications

   Bergman, David, Huang, Teng, Brooks, Philip, Lodi, Andrea, Raghunathan, Arvind, "JANOS: An Integrated Predictive and Prescriptive Modeling Framework", Tech. Rep. TR2021-025, Mitsubishi Electric Research Laboratories, Cambridge, MA, April 2021.

  BibTeX TR2021-025 PDF

  • @techreport{MERL_TR2021-025,
  • author = {Bergman, David; Huang, Teng; Brooks, Philip; Lodi, Andrea; Raghunathan, Arvind},
  • title = {JANOS: An Integrated Predictive and Prescriptive Modeling Framework},
  • institution = {MERL - Mitsubishi Electric Research Laboratories},
  • address = {Cambridge, MA 02139},
  • number = {TR2021-025},
  • month = apr,
  • year = 2021,
  • url = {https://www.merl.com/publications/TR2021-025/}
  • }