How to effectively use machine learning models to predict the solutions for optimization problems: lessons from loss function

14 May 2021

Papers citing "How to effectively use machine learning models to predict the solutions for optimization problems: lessons from loss function"

4 / 4 papers shown

Title
Digital Twins for forecasting and decision optimisation with machine learning: applications in wastewater treatment Matthew Colwell Mahdi Abolghasemi AI4CE 11 0 0 23 Apr 2024
Approximating Solutions to the Knapsack Problem using the Lagrangian Dual Framework Mitchell Keegan Mahdi Abolghasemi 59 0 0 06 Dec 2023
The intersection of machine learning with forecasting and optimisation: theory and applications M. Abolghasemi 23 1 0 24 Nov 2022
Predicting Tactical Solutions to Operational Planning Problems under Imperfect Information Eric Larsen Sébastien Lachapelle Yoshua Bengio Emma Frejinger Simon Lacoste-Julien Andrea Lodi 25 46 0 31 Jul 2018