Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
2002.05120
Cited By
v1
v2
v3
v4 (latest)
Parameterizing Branch-and-Bound Search Trees to Learn Branching Policies
AAAI Conference on Artificial Intelligence (AAAI), 2020
12 February 2020
Giulia Zarpellon
Jason Jo
Andrea Lodi
Yoshua Bengio
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"Parameterizing Branch-and-Bound Search Trees to Learn Branching Policies"
50 / 60 papers shown
Dynamic Stratified Contrastive Learning with Upstream Augmentation for MILP Branching
Tongkai Lu
Shuai Ma
Chongyang Tao
171
0
0
26 Nov 2025
Learning Branching Policies for MILPs with Proximal Policy Optimization
Abdelouahed Ben Mhamed
A. Idrissi
A. E. Seghrouchni
OffRL
213
0
0
17 Nov 2025
Boolean Satisfiability via Imitation Learning
Zewei Zhang
Huan Liu
Yuanhao Yu
Jun Chen
Xiangyu Xu
244
0
0
29 Sep 2025
Reinforcement Learning for Search Tree Size Minimization in Constraint Programming: New Results on Scheduling Benchmarks
Computers & industrial engineering (CIE), 2025
Vilém Heinz
Petr Vilím
Zdeněk Hanzálek
99
2
0
27 Aug 2025
FMIP: Joint Continuous-Integer Flow For Mixed-Integer Linear Programming
Hongpei Li
Hui Yuan
Han Zhang
J. Lin
Dongdong Ge
Mengdi Wang
Yinyu Ye
AIFin
238
0
0
31 Jul 2025
PROPEL: Supervised and Reinforcement Learning for Large-Scale Supply Chain Planning
Vahid Eghbal Akhlaghi
Reza Zandehshahvar
Pascal Van Hentenryck
384
3
0
10 Apr 2025
Traffic Engineering in Large-scale Networks with Generalizable Graph Neural Networks
Fangtong Zhou
Xiaorui Liu
Ruozhou Yu
G. Xue
GNN
469
0
0
31 Mar 2025
Apollo-MILP: An Alternating Prediction-Correction Neural Solving Framework for Mixed-Integer Linear Programming
International Conference on Learning Representations (ICLR), 2025
Haoyang Liu
Jie Wang
Zijie Geng
Xijun Li
Yuxuan Zong
Fangzhou Zhu
Jianye Hao
Feng Wu
408
17
0
03 Mar 2025
Towards graph neural networks for provably solving convex optimization problems
Chendi Qian
Christopher Morris
383
3
0
04 Feb 2025
Towards An Unsupervised Learning Scheme for Efficiently Solving Parameterized Mixed-Integer Programs
Shiyuan Qu
Fenglian Dong
Zhiwei Wei
Chao Shang
243
1
0
23 Dec 2024
Search Strategy Generation for Branch and Bound Using Genetic Programming
AAAI Conference on Artificial Intelligence (AAAI), 2024
Gwen Maudet
Grégoire Danoy
277
5
0
12 Dec 2024
Learning to Optimize for Mixed-Integer Non-linear Programming
Bo Tang
Elias Boutros Khalil
Ján Drgoňa
636
11
0
14 Oct 2024
Learning to Remove Cuts in Integer Linear Programming
Pol Puigdemont
Stratis Skoulakis
Grigorios G. Chrysos
Volkan Cevher
281
4
0
26 Jun 2024
Supplementary Materials to Graph Convolutional Branch and Bound
Lorenzo Sciandra
Roberto Esposito
Andrea Cesare Grosso
L. Sacerdote
C. Zucca
225
0
0
05 Jun 2024
Learning to Cut via Hierarchical Sequence/Set Model for Efficient Mixed-Integer Programming
Jie Wang
Zhihai Wang
Xijun Li
Yufei Kuang
Zhihao Shi
Fangzhou Zhu
Mingxuan Yuan
Jianguo Zeng
Yongdong Zhang
Feng Wu
223
15
0
19 Apr 2024
Rethinking the Capacity of Graph Neural Networks for Branching Strategy
Neural Information Processing Systems (NeurIPS), 2024
Ziang Chen
Jialin Liu
Xiaohan Chen
Xinshang Wang
Wotao Yin
570
11
0
11 Feb 2024
Machine Learning Augmented Branch and Bound for Mixed Integer Linear Programming
Lara Scavuzzo
K. Aardal
Andrea Lodi
Neil Yorke-Smith
246
58
0
08 Feb 2024
CAMBranch: Contrastive Learning with Augmented MILPs for Branching
International Conference on Learning Representations (ICLR), 2024
Jiacheng Lin
Meng Xu
Zhihua Xiong
Huangang Wang
442
7
0
06 Feb 2024
Deep learning enhanced mixed integer optimization: Learning to reduce model dimensionality
Computers and Chemical Engineering (Comput. Chem. Eng.), 2024
Niki Triantafyllou
M. Papathanasiou
279
12
0
17 Jan 2024
Machine Learning Insides OptVerse AI Solver: Design Principles and Applications
Xijun Li
Fangzhou Zhu
Hui-Ling Zhen
Weilin Luo
Meng Lu
...
Jia Zeng
Mingxuan Yuan
Jianye Hao
Jun Yao
Kun Mao
391
6
0
11 Jan 2024
Artificial Intelligence for Operations Research: Revolutionizing the Operations Research Process
Zhenan Fan
Bissan Ghaddar
Xinglu Wang
Linzi Xing
Yong Zhang
Zirui Zhou
AI4CE
288
22
0
06 Jan 2024
Learning to Configure Separators in Branch-and-Cut
Sirui Li
Wenbin Ouyang
Max B. Paulus
Cathy Wu
262
17
0
08 Nov 2023
Solving a Class of Cut-Generating Linear Programs via Machine Learning
INFORMS journal on computing (IJOC), 2023
Atefeh Rajabalizadeh
D. Davarnia
181
4
0
30 Oct 2023
Promoting Generalization for Exact Solvers via Adversarial Instance Augmentation
Haoyang Liu
Yufei Kuang
Jie Wang
Xijun Li
Yongdong Zhang
Feng Wu
AAML
230
15
0
22 Oct 2023
Exploring the Power of Graph Neural Networks in Solving Linear Optimization Problems
International Conference on Artificial Intelligence and Statistics (AISTATS), 2023
Chendi Qian
Didier Chételat
Christopher Morris
296
29
0
16 Oct 2023
On Statistical Learning of Branch and Bound for Vehicle Routing Optimization
Andrew Naguib
Waleed A. Yousef
Issa Traoré
Mohammed Mamun
339
0
0
15 Oct 2023
Learning to Branch in Combinatorial Optimization with Graph Pointer Networks
IEEE/CAA Journal of Automatica Sinica (IEEE/CAA JAS), 2023
Rui Wang
Zhiming Zhou
Tao Zhang
Ling Wang
Xin Xu
Xiangke Liao
Kaiwen Li
291
10
0
04 Jul 2023
Machine Learning for Cutting Planes in Integer Programming: A Survey
International Joint Conference on Artificial Intelligence (IJCAI), 2023
Arnaud Deza
Elias Boutros Khalil
238
40
0
17 Feb 2023
Searching Large Neighborhoods for Integer Linear Programs with Contrastive Learning
International Conference on Machine Learning (ICML), 2023
Taoan Huang
Aaron Ferber
Yuandong Tian
B. Dilkina
Benoit Steiner
238
45
0
03 Feb 2023
Learning Cut Selection for Mixed-Integer Linear Programming via Hierarchical Sequence Model
International Conference on Learning Representations (ICLR), 2023
Zhihai Wang
Xijun Li
Jie Wang
Yufei Kuang
Mingxuan Yuan
Jianguo Zeng
Yongdong Zhang
Feng Wu
255
62
0
01 Feb 2023
Learning To Dive In Branch And Bound
Neural Information Processing Systems (NeurIPS), 2023
Max B. Paulus
Andreas Krause
270
15
0
24 Jan 2023
Learning to repeatedly solve routing problems
Networks (Networks), 2022
Mouad Morabit
G. Desaulniers
Andrea Lodi
201
11
0
15 Dec 2022
Adaptive Constraint Partition based Optimization Framework for Large-scale Integer Linear Programming(Student Abstract)
AAAI Conference on Artificial Intelligence (AAAI), 2022
Huigen Ye
Hongyan Wang
Hua Xu
Cheng . Wang
YueYen Jiang
184
8
0
18 Nov 2022
Learning to Compare Nodes in Branch and Bound with Graph Neural Networks
Neural Information Processing Systems (NeurIPS), 2022
Abdel Ghani Labassi
Didier Chételat
Andrea Lodi
224
45
0
30 Oct 2022
On Representing Mixed-Integer Linear Programs by Graph Neural Networks
Ziang Chen
Jialin Liu
Xinshang Wang
Jian Lu
W. Yin
AI4CE
300
29
0
19 Oct 2022
Lifelong Learning for Neural powered Mixed Integer Programming
AAAI Conference on Artificial Intelligence (AAAI), 2022
S. Manchanda
Jignesh M. Patel
CLL
395
2
0
24 Aug 2022
Branch Ranking for Efficient Mixed-Integer Programming via Offline Ranking-based Policy Learning
Zeren Huang
Wenhao Chen
Weinan Zhang
Chuhan Shi
Furui Liu
Hui-Ling Zhen
Mingxuan Yuan
Jianye Hao
Yong Yu
Jun Wang
OffRL
210
2
0
26 Jul 2022
Lookback for Learning to Branch
Prateek Gupta
Elias Boutros Khalil
Didier Chételat
Maxime Gasse
Yoshua Bengio
Andrea Lodi
M. P. Kumar
420
37
0
30 Jun 2022
Learning To Cut By Looking Ahead: Cutting Plane Selection via Imitation Learning
International Conference on Machine Learning (ICML), 2022
Max B. Paulus
Giulia Zarpellon
Andreas Krause
Laurent Charlin
Chris J. Maddison
256
85
0
27 Jun 2022
On the Generalization of Neural Combinatorial Optimization Heuristics
S. Manchanda
Sofia Michel
Darko Drakulic
J. Andreoli
360
29
0
01 Jun 2022
Reinforcement Learning for Branch-and-Bound Optimisation using Retrospective Trajectories
AAAI Conference on Artificial Intelligence (AAAI), 2022
Christopher W. F. Parsonson
Alexandre Laterre
Thomas D. Barrett
368
30
0
28 May 2022
MIP-GNN: A Data-Driven Framework for Guiding Combinatorial Solvers
AAAI Conference on Artificial Intelligence (AAAI), 2022
Elias Boutros Khalil
Christopher Morris
Andrea Lodi
AI4CE
255
74
0
27 May 2022
Learning to branch with Tree MDPs
Neural Information Processing Systems (NeurIPS), 2022
Lara Scavuzzo
F. Chen
Didier Chételat
Maxime Gasse
Andrea Lodi
Neil Yorke-Smith
K. Aardal
AI4CE
351
75
0
23 May 2022
Machine Learning for Combinatorial Optimisation of Partially-Specified Problems: Regret Minimisation as a Unifying Lens
Stefano Teso
Laurens Bliek
Andrea Borghesi
M. Lombardi
Neil Yorke-Smith
Tias Guns
Baptiste Caramiaux
245
4
0
20 May 2022
Data-driven Prediction of Relevant Scenarios for Robust Combinatorial Optimization
Computers & Operations Research (COR), 2022
Marc Goerigk
Jannis Kurtz
146
7
0
30 Mar 2022
A Survey for Solving Mixed Integer Programming via Machine Learning
Neurocomputing (Neurocomputing), 2022
Jiayi Zhang
Chang-rui Liu
Junchi Yan
Xijun Li
Hui-Ling Zhen
Mingxuan Yuan
AI4CE
275
118
0
06 Mar 2022
Learning to Schedule Heuristics for the Simultaneous Stochastic Optimization of Mining Complexes
Computers & Operations Research (COR), 2022
Yassine Yaakoubi
R. Dimitrakopoulos
222
14
0
25 Feb 2022
Confidence Threshold Neural Diving
Taehyun Yoon
226
9
0
15 Feb 2022
ML4CO: Is GCNN All You Need? Graph Convolutional Neural Networks Produce Strong Baselines For Combinatorial Optimization Problems, If Tuned and Trained Properly, on Appropriate Data
Amin Banitalebi-Dehkordi
Yong Zhang
207
6
0
22 Dec 2021
Branch and Bound in Mixed Integer Linear Programming Problems: A Survey of Techniques and Trends
Lingying Huang
Xiaomeng Chen
Wei Huo
Jiazheng Wang
Fan Zhang
Bo Bai
Ling Shi
191
33
0
05 Nov 2021
1
2
Next
Page 1 of 2
