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SurCo: Learning Linear Surrogates For Combinatorial Nonlinear
  Optimization Problems

SurCo: Learning Linear Surrogates For Combinatorial Nonlinear Optimization Problems

22 October 2022
Aaron Ferber
Taoan Huang
Daochen Zha
M. Schubert
Benoit Steiner
B. Dilkina
Yuandong Tian
ArXivPDFHTML

Papers citing "SurCo: Learning Linear Surrogates For Combinatorial Nonlinear Optimization Problems"

18 / 18 papers shown
Title
A fast algorithm to minimize prediction loss of the optimal solution in inverse optimization problem of MILP
A fast algorithm to minimize prediction loss of the optimal solution in inverse optimization problem of MILP
Akira Kitaoka
48
0
0
23 May 2024
Environment-Centric Learning Approach for Gait Synthesis in Terrestrial Soft Robots
Environment-Centric Learning Approach for Gait Synthesis in Terrestrial Soft Robots
C. Freeman
Arun Niddish Mahendran
V. Vikas
36
1
0
06 Feb 2024
Theseus: A Library for Differentiable Nonlinear Optimization
Theseus: A Library for Differentiable Nonlinear Optimization
Luis Pineda
Taosha Fan
Maurizio Monge
S. Venkataraman
Paloma Sodhi
...
Austin S. Wang
Stuart Anderson
Jing Dong
Brandon Amos
Mustafa Mukadam
67
77
0
19 Jul 2022
Inverse design of photonic devices with strict foundry fabrication
  constraints
Inverse design of photonic devices with strict foundry fabrication constraints
M. Schubert
A. C. H. Cheung
Ian A. D. Williamson
Aleksandra Spyra
David H. Alexander
40
51
0
31 Jan 2022
Learning to Delegate for Large-scale Vehicle Routing
Learning to Delegate for Large-scale Vehicle Routing
Sirui Li
Zhongxia Yan
Cathy Wu
29
111
0
08 Jul 2021
PyGAD: An Intuitive Genetic Algorithm Python Library
PyGAD: An Intuitive Genetic Algorithm Python Library
A. Gad
ODL
GP
AI4CE
20
186
0
11 Jun 2021
DC3: A learning method for optimization with hard constraints
DC3: A learning method for optimization with hard constraints
P. Donti
David Rolnick
J. Zico Kolter
AI4CE
42
186
0
25 Apr 2021
Transferable Graph Optimizers for ML Compilers
Transferable Graph Optimizers for ML Compilers
Yanqi Zhou
Sudip Roy
AmirAli Abdolrashidi
Daniel Wong
Peter C. Ma
...
Mangpo Phitchaya Phothilimtha
Shen Wang
Anna Goldie
Azalia Mirhoseini
James Laudon
GNN
14
53
0
21 Oct 2020
Automatically Learning Compact Quality-aware Surrogates for Optimization
  Problems
Automatically Learning Compact Quality-aware Surrogates for Optimization Problems
Kai Wang
Bryan Wilder
Andrew Perrault
Milind Tambe
26
28
0
18 Jun 2020
Reinforcement Learning for Combinatorial Optimization: A Survey
Reinforcement Learning for Combinatorial Optimization: A Survey
Nina Mazyavkina
S. Sviridov
Sergei Ivanov
Evgeny Burnaev
58
611
0
07 Mar 2020
Deep Learning Recommendation Model for Personalization and
  Recommendation Systems
Deep Learning Recommendation Model for Personalization and Recommendation Systems
Maxim Naumov
Dheevatsa Mudigere
Hao-Jun Michael Shi
Jianyu Huang
Narayanan Sundaraman
...
Wenlin Chen
Vijay Rao
Bill Jia
Liang Xiong
M. Smelyanskiy
43
726
0
31 May 2019
SATNet: Bridging deep learning and logical reasoning using a
  differentiable satisfiability solver
SATNet: Bridging deep learning and logical reasoning using a differentiable satisfiability solver
Po-Wei Wang
P. Donti
Bryan Wilder
Zico Kolter
LRM
NAI
41
262
0
29 May 2019
Machine Learning for Combinatorial Optimization: a Methodological Tour
  d'Horizon
Machine Learning for Combinatorial Optimization: a Methodological Tour d'Horizon
Yoshua Bengio
Andrea Lodi
Antoine Prouvost
129
1,367
0
15 Nov 2018
Bayesian Optimization of Combinatorial Structures
Bayesian Optimization of Combinatorial Structures
Ricardo Baptista
Matthias Poloczek
47
136
0
22 Jun 2018
Automated vehicle's behavior decision making using deep reinforcement
  learning and high-fidelity simulation environment
Automated vehicle's behavior decision making using deep reinforcement learning and high-fidelity simulation environment
Yingjun Ye
Xiaohui Zhang
Jian Sun
16
131
0
17 Apr 2018
Attention, Learn to Solve Routing Problems!
Attention, Learn to Solve Routing Problems!
W. Kool
H. V. Hoof
Max Welling
70
1,193
0
22 Mar 2018
Learning Combinatorial Optimization Algorithms over Graphs
Learning Combinatorial Optimization Algorithms over Graphs
H. Dai
Elias Boutros Khalil
Yuyu Zhang
B. Dilkina
Le Song
77
1,453
0
05 Apr 2017
OptNet: Differentiable Optimization as a Layer in Neural Networks
OptNet: Differentiable Optimization as a Layer in Neural Networks
Brandon Amos
J. Zico Kolter
120
952
0
01 Mar 2017
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