The Machine Learning for Combinatorial Optimization Competition (ML4CO): Results and Insights - researchr publication authors

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Maxime Gasse, Simon Bowly, Quentin Cappart, Jonas Charfreitag, Laurent Charlin, Didier Chételat, Antonia Chmiela, Justin Dumouchelle, Ambros M. Gleixner, Aleksandr M. Kazachkov, Elias Khalil, Pawel Lichocki, Andrea Lodi 0001, Miles Lubin, Chris J. Maddison, Christopher Morris 0001, Dimitri J. Papageorgiou, Augustin Parjadis, Sebastian Pokutta, Antoine Prouvost, Lara Scavuzzo, Giulia Zarpellon, Linxin Yang, Sha Lai, Akang Wang, Xiaodong Luo, Xiang Zhou, Haohan Huang, Sheng Cheng Shao, Yuanming Zhu, Dong Zhang, Tao Quan, Zixuan Cao, Yang Xu, Zhewei Huang, Shuchang Zhou, Binbin Chen, Minggui He, Hao Hao, Zhiyu Zhang, Zhiwu An, Kun Mao. The Machine Learning for Combinatorial Optimization Competition (ML4CO): Results and Insights. In Douwe Kiela, Marco Ciccone, Barbara Caputo, editors, NeurIPS 2021 Competitions and Demonstrations Track, 6-14 December 2021, Online. Volume 176 of Proceedings of Machine Learning Research, pages 220-231, PMLR, 2021. [doi]

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