Learning Hard Optimization Problems: A Data Generation Perspective

Learning Hard Optimization Problems: A Data Generation Perspective

4 June 2021

Ferdinando Fioretto

Pascal Van Hentenryck

Papers citing "Learning Hard Optimization Problems: A Data Generation Perspective"

7 / 7 papers shown

Title
Approximating Solutions to the Knapsack Problem using the Lagrangian Dual Framework Mitchell Keegan Mahdi Abolghasemi 59 0 0 06 Dec 2023
Predict-Then-Optimize by Proxy: Learning Joint Models of Prediction and Optimization James Kotary Vincenzo Di Vito Jacob K Christopher Pascal Van Hentenryck Ferdinando Fioretto 39 3 0 22 Nov 2023
Learning To Dive In Branch And Bound Max B. Paulus Andreas Krause 29 4 0 24 Jan 2023
Self-Supervised Primal-Dual Learning for Constrained Optimization Seonho Park Pascal Van Hentenryck 38 46 0 18 Aug 2022
Fast Continuous and Integer L-shaped Heuristics Through Supervised Learning Eric Larsen Emma Frejinger B. Gendron Andrea Lodi 22 19 0 02 May 2022
Solving Mixed Integer Programs Using Neural Networks Vinod Nair Sergey Bartunov Felix Gimeno Ingrid von Glehn Pawel Lichocki ... Pushmeet Kohli Ira Ktena Yujia Li Oriol Vinyals Yori Zwols 127 244 0 23 Dec 2020
Predicting AC Optimal Power Flows: Combining Deep Learning and Lagrangian Dual Methods Ferdinando Fioretto Terrence W.K. Mak Pascal Van Hentenryck AI4CE 81 199 0 19 Sep 2019