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Metric Learning to Accelerate Convergence of Operator Splitting Methods
  for Differentiable Parametric Programming

Metric Learning to Accelerate Convergence of Operator Splitting Methods for Differentiable Parametric Programming

1 April 2024
Ethan King
James Kotary
Ferdinando Fioretto
Ján Drgoňa
ArXivPDFHTML

Papers citing "Metric Learning to Accelerate Convergence of Operator Splitting Methods for Differentiable Parametric Programming"

4 / 4 papers shown
Title
Tutorial on amortized optimization
Tutorial on amortized optimization
Brandon Amos
OffRL
75
43
0
01 Feb 2022
Fast Approximations for Job Shop Scheduling: A Lagrangian Dual Deep
  Learning Method
Fast Approximations for Job Shop Scheduling: A Lagrangian Dual Deep Learning Method
James Kotary
Ferdinando Fioretto
Pascal Van Hentenryck
29
20
0
12 Oct 2021
Predicting AC Optimal Power Flows: Combining Deep Learning and
  Lagrangian Dual Methods
Predicting AC Optimal Power Flows: Combining Deep Learning and Lagrangian Dual Methods
Ferdinando Fioretto
Terrence W.K. Mak
Pascal Van Hentenryck
AI4CE
76
160
0
19 Sep 2019
Neural Combinatorial Optimization with Reinforcement Learning
Neural Combinatorial Optimization with Reinforcement Learning
Irwan Bello
Hieu H. Pham
Quoc V. Le
Mohammad Norouzi
Samy Bengio
69
1,449
0
29 Nov 2016
1