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Antonia Chmiela
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2020 – today
- 2023
- [j2]Antonia Chmiela
, Gonzalo Muñoz
On the implementation and strengthening of intersection cuts for QCQPs. Math. Program. 197(2): 549-586 (2023) - [j1]Ksenia Bestuzheva
Enabling Research through the SCIP Optimization Suite 8.0. ACM Trans. Math. Softw. 49(2): 22:1-22:21 (2023) - [c5]Antonia Chmiela, Ambros M. Gleixner
Online Learning for Scheduling MIP Heuristics. CPAIOR 2023: 114-123 - [c4]Antonia Chmiela, Gonzalo Muñoz, Felipe Serrano:
Monoidal Strengthening and Unique Lifting in MIQCPs. IPCO 2023: 87-99 - [i5]Antonia Chmiela, Ambros M. Gleixner, Pawel Lichocki, Sebastian Pokutta:
Online Learning for Scheduling MIP Heuristics. CoRR abs/2304.03755 (2023) - [i4]Gioni Mexi, Mathieu Besançon, Suresh Bolusani, Antonia Chmiela, Alexander Hoen, Ambros M. Gleixner:
Scylla: a matrix-free fix-propagate-and-project heuristic for mixed-integer optimization. CoRR abs/2307.03466 (2023) - [i3]Mark Turner, Antonia Chmiela, Thorsten Koch, Michael Winkler:
PySCIPOpt-ML: Embedding Trained Machine Learning Models into Mixed-Integer Programs. CoRR abs/2312.08074 (2023) - 2022
- [i2]Maxime Gasse, Quentin Cappart, Jonas Charfreitag, Laurent Charlin, Didier Chételat, Antonia Chmiela, Justin Dumouchelle, Ambros M. Gleixner, Aleksandr M. Kazachkov, Elias B. 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 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. CoRR abs/2203.02433 (2022) - 2021
- [c3]Antonia Chmiela
On the Implementation and Strengthening of Intersection Cuts for QCQPs. IPCO 2021: 134-147 - [c2]Maxime Gasse, Simon Bowly, Quentin Cappart, Jonas Charfreitag, Laurent Charlin, Didier Chételat, Antonia Chmiela, Justin Dumouchelle, Ambros M. Gleixner, Aleksandr M. Kazachkov, Elias B. 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 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. NeurIPS (Competition and Demos) 2021: 220-231 - [c1]Antonia Chmiela, Elias B. Khalil, Ambros M. Gleixner, Andrea Lodi, Sebastian Pokutta:
Learning to Schedule Heuristics in Branch and Bound. NeurIPS 2021: 24235-24246 - [i1]Antonia Chmiela, Elias B. Khalil, Ambros M. Gleixner, Andrea Lodi, Sebastian Pokutta:
Learning to Schedule Heuristics in Branch-and-Bound. CoRR abs/2103.10294 (2021)
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