Learning to Reformulate for Linear Programming

Learning to Reformulate for Linear Programming

17 January 2022

Mingxuan Yuan

Papers citing "Learning to Reformulate for Linear Programming"

6 / 6 papers shown

Title
Hybrid Models for Learning to Branch Prateek Gupta Maxime Gasse Elias Boutros Khalil M. P. Kumar Andrea Lodi Yoshua Bengio GNN 129 126 0 26 Jun 2020
Exact Combinatorial Optimization with Graph Convolutional Neural Networks Maxime Gasse Didier Chételat Nicola Ferroni Laurent Charlin Andrea Lodi GNN CML 107 481 0 04 Jun 2019
Learning to Branch Maria-Florina Balcan Travis Dick Tuomas Sandholm Ellen Vitercik 39 172 0 27 Mar 2018
Learning a SAT Solver from Single-Bit Supervision Daniel Selsam Matthew Lamm Benedikt Bünz Percy Liang L. D. Moura D. Dill NAI 81 420 0 11 Feb 2018
Neural Combinatorial Optimization with Reinforcement Learning Irwan Bello Hieu H. Pham Quoc V. Le Mohammad Norouzi Samy Bengio 120 1,472 0 29 Nov 2016
Pointer Networks Oriol Vinyals Meire Fortunato Navdeep Jaitly 96 3,036 0 09 Jun 2015