Research graph
References from Promoting Generalization for Exact Combinatorial Solvers via Adversarial Instance Augmentation. Local targets link to admitted publications; unresolved targets remain external evidence.
10.1287/opre.1080.0688
10.1287/opre.1080.0688 · External reference
10.1049/cje.2019.06.015
10.1049/cje.2019.06.015 · External reference
10.1021/ie800646q
10.1021/ie800646q · External reference
The SCIP optimization suite 8.0
2021 · External reference
Gurobi optimizer reference manual
2021 · External reference
10.1111/j.1475-3995.1996.tb00032.x
10.1111/j.1475-3995.1996.tb00032.x · External reference
10.1007/978-3-662-05269-3
10.1007/978-3-662-05269-3 · External reference
Learning to search in branch and bound algorithms
External reference
10.1609/aaai.v30i1.10080
10.1609/aaai.v30i1.10080 · External reference
Exact combinatorial optimization with graph convolutional neural networks
External reference
10.52202/068431-1345
10.52202/068431-1345 · External reference
Learning cut selection for mixed-integer linear programming via hierarchical sequence model
External reference
10.1016/j.ejor.2020.07.063
10.1016/j.ejor.2020.07.063 · External reference
10.1145/1276958.1277214
10.1145/1276958.1277214 · External reference
10.1109/tpami.2024.3352096
10.1109/tpami.2024.3352096 · External reference
Generalization of neural combinatorial solvers through the lens of adversarial robustness
External reference
Proximal policy optimization algorithms
2017 · External reference
10.1007/s11750-017-0451-6
10.1007/s11750-017-0451-6 · External reference
Pointer networks
External reference
Neural combinatorial optimization with reinforcement learning
2016 · External reference
Attention, learn to solve routing problems
External reference
Learning a SAT solver from single-bit supervision
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Learning local search heuristics for boolean satisfiability
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Reinforcement learning for solving the vehicle routing problem
External reference
10.1609/aaai.v34i04.5723
10.1609/aaai.v34i04.5723 · External reference
Hybrid models for learning to branch
External reference
Lookback for learning to branch
2022 · External reference
10.52202/068431-2319
10.52202/068431-2319 · External reference
Reinforcement learning for integer programming: Learning to cut
External reference
Constraint integer programming
2007 · External reference
10.1609/aaai.v36i9.21214
10.1609/aaai.v36i9.21214 · External reference
10.52202/068431-2264
10.52202/068431-2264 · External reference
Generative adversarial training for neural combinatorial optimization models
2022 · External reference
Augment with care: Contrastive learning for combinatorial problems
External reference
ROCO: A general framework for evaluating robustness of combinatorial optimization solvers on graphs
External reference
10.1609/aaai.v35i5.16512
10.1609/aaai.v35i5.16512 · External reference
Machine learning augmented branch and bound for mixed integer linear programming
2024 · External reference
Solving mixed integer programs using neural networks
2020 · External reference
10.1007/978-3-030-58942-4_12
10.1007/978-3-030-58942-4_12 · External reference
Improving learning to branch via reinforcement learning
External reference
10.1609/aaai.v37i4.25521
10.1609/aaai.v37i4.25521 · External reference
An improved reinforcement learning algorithm for learning to branch
2022 · External reference
Finding cuts in the TSP (A preliminary report)
1995 · External reference
Ecole: A gym-like library for machine learning in combinatorial optimization solvers
External reference
10.52202/075280-0796
10.52202/075280-0796 · External reference
Generalizing to unseen domains via adversarial data augmentation
External reference
On representing mixed-integer linear programs by graph neural networks
2023 · External reference
Unresolved reference
2018 · External reference
A group-theoretic framework for data augmentation
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On the generalization gap in reparameterizable reinforcement learning
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Cuts, primal heuristics, and learning to branch for the time-dependent traveling salesman problem
2018 · External reference
10.1145/775047.775067
10.1145/775047.775067 · External reference
Adam: A method for stochastic optimization
External reference
Machine learning insides optverse AI solver: Design principles and applications
2024 · External reference
10.52202/075280-1485
10.52202/075280-1485 · External reference
The machine learning for combinatorial optimization competition (ML4CO): Results and insights
External reference
10.24963/ijcai.2017/92
10.24963/ijcai.2017/92 · External reference
Learning to schedule heuristics in branch and bound
External reference
Distributional miplib: A multi-domain library for advancing ML-guided MILP methods
2024 · External reference
10.1186/s40537-019-0197-0
10.1186/s40537-019-0197-0 · External reference
10.1609/aaai.v34i07.7000
10.1609/aaai.v34i07.7000 · External reference
The effectiveness of data augmentation in image classification using deep learning
2017 · External reference
Image augmentation is all you need: Regularizing deep reinforcement learning from pixels
External reference
Reinforcement learning with augmented data
External reference
10.2307/j.ctt4cgngj.10
10.2307/j.ctt4cgngj.10 · External reference
Distributionally robust semi-supervised learning over graphs
2021 · External reference
Adversarial attack on graph structured data
External reference
10.1109/tkde.2019.2957786
10.1109/tkde.2019.2957786 · External reference
CAP: Co-adversarial perturbation on weights and features for improving generalization of graph neural networks
2021 · External reference
A kernel theory of modern data augmentation
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On the generalization effects of linear transformations in data augmentation
External reference
10.1145/352871.352879
10.1145/352871.352879 · External reference
10.1007/bfb0120886
10.1007/bfb0120886 · External reference
10.1016/0377-2217(91)90261-s
10.1016/0377-2217(91)90261-s · External reference
10.1007/s10601-015-9221-y
10.1007/s10601-015-9221-y · External reference
Visualizing data using t-SNE
2008 · External reference
