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The Machine Learning for Combinatorial Optimization Competition (ML4CO):
  Results and Insights
v1v2 (latest)

The Machine Learning for Combinatorial Optimization Competition (ML4CO): Results and Insights

Neural Information Processing Systems (NeurIPS), 2022
4 March 2022
Maxime Gasse
Quentin Cappart
J. Charfreitag
Laurent Charlin
Didier Chételat
Antonia Chmiela
Justin Dumouchelle
Ambros M. Gleixner
Aleksandr M. Kazachkov
Elias Boutros Khalil
Pawel Lichocki
Andrea Lodi
Miles Lubin
Chris J. Maddison
Christopher Morris
Dimitri J. Papageorgiou
Augustin Parjadis
Sebastian Pokutta
Antoine Prouvost
Lara Scavuzzo
Giulia Zarpellon
Linxin Yangm
Sha Lai
Akang Wang
Xiaodong Luo
Xiang Zhou
Haohan Huang
Sheng Cheng Shao
Yuanming Zhu
Dong Zhang
T. Quan
Zixuan Cao
Yang Xu
Zhewei Huang
Shuchang Zhou
C. Binbin
He Minggui
Hao Hao
Zhang Zhiyu
An Zhiwu
M. Kun
ArXiv (abs)PDFHTMLGithub (138★)

Papers citing "The Machine Learning for Combinatorial Optimization Competition (ML4CO): Results and Insights"

26 / 26 papers shown
CoCo-MILP: Inter-Variable Contrastive and Intra-Constraint Competitive MILP Solution Prediction
CoCo-MILP: Inter-Variable Contrastive and Intra-Constraint Competitive MILP Solution Prediction
Tianle Pu
Jianing Li
Yingying Gao
Shixuan Liu
Zijie Geng
Haoyang Liu
Chao Chen
Changjun Fan
124
1
0
12 Nov 2025
RoME: Domain-Robust Mixture-of-Experts for MILP Solution Prediction across Domains
RoME: Domain-Robust Mixture-of-Experts for MILP Solution Prediction across Domains
Tianle Pu
Zijie Geng
Haoyang Liu
Shixuan Liu
Jie Wang
Li Zeng
Chao Chen
Changjun Fan
186
8
0
04 Nov 2025
Feature Augmentation of GNNs for ILPs: Local Uniqueness Suffices
Feature Augmentation of GNNs for ILPs: Local Uniqueness Suffices
Qingyu Han
Qian Li
Linxin Yang
Qian Chen
Qingjiang Shi
Tian Ding
210
0
0
25 Sep 2025
Constraint Matters: Multi-Modal Representation for Reducing Mixed-Integer Linear programming
Constraint Matters: Multi-Modal Representation for Reducing Mixed-Integer Linear programming
Jiajun Li
Ran Hou
Yu Ding
Yixuan Li
Shisi Guan
...
Xiongwei Han
Tao Zhong
Vincent Chau
Weiwei Wu
Wanyuan Wang
204
1
0
26 Aug 2025
Collab-Solver: Collaborative Solving Policy Learning for Mixed-Integer Linear Programming
Collab-Solver: Collaborative Solving Policy Learning for Mixed-Integer Linear Programming
Siyuan Li
Yifan Yu
Y. Deng
Zhihao Zhang
M. Ben-Chen
Fangzhou Zhu
Tao Zhong
Jianye Hao
204
0
0
05 Aug 2025
FMIP: Joint Continuous-Integer Flow For Mixed-Integer Linear Programming
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
BenLOC: A Benchmark for Learning to Configure MIP Optimizers
BenLOC: A Benchmark for Learning to Configure MIP Optimizers
Hongpei Li
Ziyan He
Yufei Wang
Wenting Tu
Shanwen Pu
Qi Deng
Dongdong Ge
148
0
0
03 Jun 2025
Are Your Generated Instances Truly Useful? GenBench-MILP: A Benchmark Suite for MILP Instance Generation
Are Your Generated Instances Truly Useful? GenBench-MILP: A Benchmark Suite for MILP Instance Generation
Yidong Luo
Chenguang Wang
Jiahao Yang
Fanzeng Xia
348
0
0
30 May 2025
Riemannian Optimization on Relaxed Indicator Matrix Manifold
Riemannian Optimization on Relaxed Indicator Matrix Manifold
Jinghui Yuan
Fangyuan Xie
Feiping Nie
Xuelong Li
429
2
0
26 Mar 2025
Apollo-MILP: An Alternating Prediction-Correction Neural Solving Framework for Mixed-Integer Linear Programming
Apollo-MILP: An Alternating Prediction-Correction Neural Solving Framework for Mixed-Integer Linear ProgrammingInternational 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 Foundation Models for Mixed Integer Linear Programming
Towards Foundation Models for Mixed Integer Linear ProgrammingInternational Conference on Learning Representations (ICLR), 2024
Sirui Li
Janardhan Kulkarni
Ishai Menache
Cathy Wu
Beibin Li
372
27
0
24 Feb 2025
An Efficient Unsupervised Framework for Convex Quadratic Programs via
  Deep Unrolling
An Efficient Unsupervised Framework for Convex Quadratic Programs via Deep Unrolling
Linxin Yang
Bingheng Li
Tian Ding
Jianghua Wu
Akang Wang
Yuyi Wang
Shucheng Zhou
Tian Ding
Xiaodong Luo
265
6
0
02 Dec 2024
RL-SPH: Learning to Achieve Feasible Solutions for Integer Linear Programs
RL-SPH: Learning to Achieve Feasible Solutions for Integer Linear Programs
Tae-Hoon Lee
Min-Soo Kim
615
0
0
29 Nov 2024
Graph Coloring Using Heat Diffusion
Graph Coloring Using Heat Diffusion
Vivek Chaudhary
150
0
0
21 Apr 2024
Model Uncertainty in Evolutionary Optimization and Bayesian
  Optimization: A Comparative Analysis
Model Uncertainty in Evolutionary Optimization and Bayesian Optimization: A Comparative Analysis
Hao Hao
Xiaoqun Zhang
Aimin Zhou
317
8
0
21 Mar 2024
Machine Learning Augmented Branch and Bound for Mixed Integer Linear
  Programming
Machine Learning Augmented Branch and Bound for Mixed Integer Linear Programming
Lara Scavuzzo
K. Aardal
Andrea Lodi
Neil Yorke-Smith
248
59
0
08 Feb 2024
Learning to Stop Cut Generation for Efficient Mixed-Integer Linear
  Programming
Learning to Stop Cut Generation for Efficient Mixed-Integer Linear Programming
Haotian Ling
Zhihai Wang
Jie Wang
346
15
0
31 Jan 2024
Exact Combinatorial Optimization with Temporo-Attentional Graph Neural
  Networks
Exact Combinatorial Optimization with Temporo-Attentional Graph Neural Networks
M. Seyfi
Amin Banitalebi-Dehkordi
Zirui Zhou
Yong Zhang
281
9
0
23 Nov 2023
Learning to Configure Separators in Branch-and-Cut
Learning to Configure Separators in Branch-and-Cut
Sirui Li
Wenbin Ouyang
Max B. Paulus
Cathy Wu
263
17
0
08 Nov 2023
Promoting Generalization for Exact Solvers via Adversarial Instance
  Augmentation
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
Reinforcement Learning for Node Selection in Branch-and-Bound
Reinforcement Learning for Node Selection in Branch-and-Bound
Alexander Mattick
Christopher Mutschler
335
4
0
29 Sep 2023
Threshold-aware Learning to Generate Feasible Solutions for Mixed
  Integer Programs
Threshold-aware Learning to Generate Feasible Solutions for Mixed Integer Programs
Taehyun Yoon
Jinwon Choi
Hyokun Yun
Sungbin Lim
170
1
0
01 Aug 2023
Learning To Dive In Branch And Bound
Learning To Dive In Branch And BoundNeural Information Processing Systems (NeurIPS), 2023
Max B. Paulus
Andreas Krause
270
15
0
24 Jan 2023
Survey on Lagrangian Relaxation for MILP: Importance, Challenges,
  Historical Review, Recent Advancements, and Opportunities
Survey on Lagrangian Relaxation for MILP: Importance, Challenges, Historical Review, Recent Advancements, and OpportunitiesAnnals of Operations Research (Ann. Oper. Res.), 2023
Mikhail A. Bragin
253
36
0
02 Jan 2023
Structured Q-learning For Antibody Design
Structured Q-learning For Antibody Design
Alexander I. Cowen-Rivers
P. Gorinski
Aivar Sootla
Asif R. Khan
Liu Furui
Jun Wang
Jan Peters
H. Ammar
OffRLOnRL
297
5
0
10 Sep 2022
Combinatorial optimization and reasoning with graph neural networks
Combinatorial optimization and reasoning with graph neural networksInternational Joint Conference on Artificial Intelligence (IJCAI), 2021
Quentin Cappart
Didier Chételat
Elias Boutros Khalil
Andrea Lodi
Christopher Morris
Petar Velickovic
AI4CE
656
461
0
18 Feb 2021
1
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