Research Campus MODAL SynLab ongoing

💬 Talks and posters

Conference and workshop talks

Research seminar talks

Poster presentations

📝 Publications and preprints

1. Carderera, A., Besançon, M., and Pokutta, S. (2024). Scalable Frank-Wolfe on Generalized Self-concordant Functions Via Simple Steps. SIAM Journal on Optimization, 34(3), 2231–2258. DOI: 10.1137/23M1616789 [arXiv] [summary] [slides] [poster] [code]
   [BibTeX]

   @article{2024_CardereraBesanconPokutta_Scalablefrankwolfe,
     year = {2024},
     journal = {SIAM Journal on Optimization},
     month = sep,
     volume = {34},
     number = {3},
     pages = {2231-2258},
     doi = {10.1137/23M1616789},
     archiveprefix = {arXiv},
     eprint = {2105.13913},
     primaryclass = {math.OC},
     author = {Carderera, Alejandro and Besançon, Mathieu and Pokutta, Sebastian},
     title = {Scalable Frank-Wolfe on Generalized Self-concordant Functions Via Simple Steps},
     code = {https://doi.org/10.5281/zenodo.4836009},
     poster = {https://pokutta.com/slides/20211120_poster_NeurIPS21_lSimple_steps_are_all_you_need.pdf},
     slides = {https://pokutta.com/slides/20210710_FW-simpleSteps-SelfConcordance.pdf},
     summary = {https://pokutta.com/blog/research/2021/10/09/self-concordant-abstract.html}
   }

2. Bolusani, S., Besançon, M., Bestuzheva, K., Chmiela, A., Dionísio, J., Donkiewicz, T., van Doornmalen, J., Eifler, L., Ghannam, M., Gleixner, A., Graczyk, C., Halbig, K., Hedtke, I., Hoen, A., Hojny, C., van der Hulst, R., Kamp, D., Koch, T., Kofler, K., … Xu, L. (2024). The SCIP Optimization Suite 9.0 (ZIB Report No. 24-02-29). Zuse Institute Berlin. [URL] [arXiv] [code]
   [BibTeX]

   @techreport{2024_BolusaniEtAl_Scip9,
     year = {2024},
     institution = {Zuse Institute Berlin},
     type = {ZIB Report},
     month = feb,
     number = {24-02-29},
     url = {https://nbn-resolving.org/urn:nbn:de:0297-zib-95528},
     archiveprefix = {arXiv},
     eprint = {2402.17702},
     primaryclass = {math.OC},
     author = {Bolusani, Suresh and Besançon, Mathieu and Bestuzheva, Ksenia and Chmiela, Antonia and Dionísio, João and Donkiewicz, Tim and van Doornmalen, Jasper and Eifler, Leon and Ghannam, Mohammed and Gleixner, Ambros and Graczyk, Christoph and Halbig, Katrin and Hedtke, Ivo and Hoen, Alexander and Hojny, Christopher and van der Hulst, Rolf and Kamp, Dominik and Koch, Thorsten and Kofler, Kevin and Lentz, Jurgen and Manns, Julian and Mexi, Gioni and Mühmer, Erik and Pfetsch, Marc and Schlösser, Franziska and Serrano, Felipe and Shinano, Yuji and Turner, Mark and Vigerske, Stefan and Weninger, Dieter and Xu, Liding},
     title = {The SCIP Optimization Suite 9.0},
     code = {https://scipopt.org}
   }

3. Bestuzheva, K., Gleixner, A., and Achterberg, T. (2024). Efficient Separation of RLT Cuts for Implicit and Explicit Bilinear Terms. Mathematical Programming. DOI: https://doi.org/10.1007/s10107-024-02104-0 [arXiv]
   [BibTeX]

   @article{2022_BestuzhevaGleixnerAchterberg_Rltcutsbilinear,
     year = {2024},
     journal = {Mathematical Programming},
     doi = {https://doi.org/10.1007/s10107-024-02104-0},
     archiveprefix = {arXiv},
     eprint = {2211.13545},
     primaryclass = {math.OC},
     author = {Bestuzheva, Ksenia and Gleixner, Ambros and Achterberg, Tobias},
     title = {Efficient Separation of RLT Cuts for Implicit and Explicit Bilinear Terms}
   }

4. Bolusani, S., Besançon, M., Gleixner, A., Berthold, T., D’Ambrosio, C., Muñoz, G., Paat, J., and Thomopulos, D. (2024). The MIP Workshop 2023 Computational Competition on Reoptimization. Mathematical Programming Computation. DOI: 10.1007/s12532-024-00256-w [arXiv]
   [BibTeX]

   @article{2023_BolusaniEtAl_Mipreoptimization,
     year = {2024},
     journal = {Mathematical Programming Computation},
     doi = {10.1007/s12532-024-00256-w},
     archiveprefix = {arXiv},
     eprint = {2311.14834},
     primaryclass = {math.OC},
     author = {Bolusani, Suresh and Besançon, Mathieu and Gleixner, Ambros and Berthold, Timo and D'Ambrosio, Claudia and Muñoz, Gonzalo and Paat, Joseph and Thomopulos, Dimitri},
     title = {The MIP Workshop 2023 Computational Competition on Reoptimization}
   }

5. Chmiela, A., Muñoz, G., and Serrano, F. (2024). Monoidal Strengthening and Unique Lifting in MIQCPs. Mathematical Programming B. DOI: 10.1007/s10107-024-02112-0 [URL]
   [BibTeX]

   @article{2023_ChmielaMuozSerrano_Monoidalstrengthening,
     year = {2024},
     journal = {Mathematical Programming B},
     doi = {10.1007/s10107-024-02112-0},
     url = {https://gonzalomunoz.org/monoidalforMIQCP.pdf},
     author = {Chmiela, Antonia and Muñoz, Gonzalo and Serrano, Felipe},
     title = {Monoidal Strengthening and Unique Lifting in MIQCPs}
   }

6. Eifler, L., and Gleixner, A. (2024). Safe and Verified Gomory Mixed Integer Cuts in a Rational MIP Framework. SIAM Journal on Optimization, 34(1), 742–763. DOI: 10.1137/23M156046X [URL] [arXiv]
   [BibTeX]

   @article{2023_EiflerGleixner_Gomorycuts,
     year = {2024},
     journal = {SIAM Journal on Optimization},
     volume = {34},
     number = {1},
     pages = {742-763},
     doi = {10.1137/23M156046X},
     note = {ZIB report 23-09},
     url = {https://nbn-resolving.org/urn:nbn:de:0297-zib-90159},
     archiveprefix = {arXiv},
     eprint = {2303.12365},
     primaryclass = {math.OC},
     author = {Eifler, Leon and Gleixner, Ambros},
     title = {Safe and Verified Gomory Mixed Integer Cuts in a Rational MIP Framework}
   }

7. Eifler, L., Nicolas-Thouvenin, J., and Gleixner, A. (2024). Combining Precision Boosting with LP Iterative Refinement for Exact Linear Optimization. INFORMS Journal on Computing. DOI: 10.1007/s10107-024-02104-0 [arXiv]
   [BibTeX]

   @article{2023_EiflerNicolasGleixner_Precisionboostinglp,
     year = {2024},
     journal = {INFORMS Journal on Computing},
     doi = {10.1007/s10107-024-02104-0},
     archiveprefix = {arXiv},
     eprint = {2311.08037},
     primaryclass = {math.OC},
     author = {Eifler, Leon and Nicolas-Thouvenin, Jules and Gleixner, Ambros},
     title = {Combining Precision Boosting with LP Iterative Refinement for Exact Linear Optimization}
   }

8. Hendrych, D., Besançon, M., and Pokutta, S. (2024). Solving the Optimal Experiment Design Problem with Mixed-integer Convex Methods. Proceedings of the Symposium on Experimental Algorithms. DOI: 10.4230/LIPIcs.SEA.2024.16 [arXiv] [code]
   [BibTeX]

   @inproceedings{2023_HendrychBesanconPokutta_Optimalexperimentdesign,
     year = {2024},
     booktitle = {Proceedings of the Symposium on Experimental Algorithms},
     doi = {10.4230/LIPIcs.SEA.2024.16},
     archiveprefix = {arXiv},
     eprint = {2312.11200},
     primaryclass = {math.OC},
     author = {Hendrych, Deborah and Besançon, Mathieu and Pokutta, Sebastian},
     title = {Solving the Optimal Experiment Design Problem with Mixed-integer Convex Methods},
     code = {https://github.com/ZIB-IOL/OptimalDesignWithBoscia}
   }

9. Mexi, G., Shamsi, S., Besançon, M., and le Bodic, P. (2024). Probabilistic Lookahead Strong Branching Via a Stochastic Abstract Branching Model. Proceedings of the International Conference on the Integration of Constraint Programming, Artificial Intelligence, and Operations Research. [arXiv]
   [BibTeX]

   @inproceedings{2023_MexiSomayehBesanconPierre_Probabilisticstrongbranching,
     year = {2024},
     booktitle = {Proceedings of the International Conference on the Integration of Constraint Programming, Artificial Intelligence, and Operations Research},
     archiveprefix = {arXiv},
     eprint = {2312.07041},
     primaryclass = {math.OC},
     author = {Mexi, Gioni and Shamsi, Somayeh and Besançon, Mathieu and le Bodic, Pierre},
     title = {Probabilistic Lookahead Strong Branching Via a Stochastic Abstract Branching Model}
   }

10. Bolusani, S., Mexi, G., Besançon, M., and Turner, M. (2024). A Multi-Reference Relaxation Enforced Neighborhood Search Heuristic in SCIP. [arXiv]
    [BibTeX]

    @misc{2024_BolusaniMexiBesanconTurner_Multireferenceneighborhoodsearch,
      archiveprefix = {arXiv},
      eprint = {2408.00718},
      primaryclass = {math.OC},
      year = {2024},
      author = {Bolusani, Suresh and Mexi, Gioni and Besançon, Mathieu and Turner, Mark},
      title = {A Multi-Reference Relaxation Enforced Neighborhood Search Heuristic in SCIP}
    }

11. Borst, S., Eifler, L., and Gleixner, A. (2024). Certified Constraint Propagation and Dual Proof Analysis in a Numerically Exact MIP Solver. [arXiv]
    [BibTeX]

    @misc{2024_BorstEiflerGleixner_ConstraintpropagationDualproofMip,
      archiveprefix = {arXiv},
      eprint = {2403.13567},
      primaryclass = {math.OC},
      year = {2024},
      author = {Borst, Sander and Eifler, Leon and Gleixner, Ambros},
      title = {Certified Constraint Propagation and Dual Proof Analysis in a Numerically Exact MIP Solver}
    }

12. Eifler, L., Witzig, J., and Gleixner, A. (2024). Branch and Cut for Partitioning a Graph Into a Cycle of Clusters. Proceedings of the International Symposium on Combinatorial Optimization. DOI: 10.1007/978-3-031-60924-4_8 [arXiv]
    [BibTeX]

    @inproceedings{2024_EiflerWitzigGleixner_Branchcutcycleclustering,
      year = {2024},
      booktitle = {Proceedings of the International Symposium on Combinatorial Optimization},
      doi = {10.1007/978-3-031-60924-4_8},
      archiveprefix = {arXiv},
      eprint = {2401.08412},
      primaryclass = {math.OC},
      author = {Eifler, Leon and Witzig, Jakob and Gleixner, Ambros},
      title = {Branch and Cut for Partitioning a Graph Into a Cycle of Clusters}
    }

13. Tjusila, G., Besançon, M., Turner, M., and Koch, T. (2024). How Many Clues To Give? A Bilevel Formulation For The Minimum Sudoku Clue Problem. Operations Research Letters. DOI: 10.1016/j.orl.2024.107105 [URL] [arXiv]
    [BibTeX]

    @article{2024_GennesaretBesanconTurnerKoch_Bilevelsudokuclue,
      year = {2024},
      journal = {Operations Research Letters},
      doi = {10.1016/j.orl.2024.107105},
      url = {https://sciencedirect.com/science/article/abs/pii/S0167637724000415},
      archiveprefix = {arXiv},
      eprint = {2305.01697},
      primaryclass = {math.OC},
      author = {Tjusila, Gennesaret and Besançon, Mathieu and Turner, Mark and Koch, Thorsten},
      title = {How Many Clues To Give? A Bilevel Formulation For The Minimum Sudoku Clue Problem.}
    }

14. Ghannam, M., Mexi, G., Lam, E., and Gleixner, A. (2024). Branch and Price for the Length-constrained Cycle Partition Problem. Proceedings of the INFORMS Optimization Society Conference. [URL] [arXiv]
    [BibTeX]

    @inproceedings{2024_GhannamMexiLamGleixner_Branchpricelccp,
      year = {2024},
      booktitle = {Proceedings of the INFORMS Optimization Society Conference},
      url = {https://sites.google.com/view/ios2024refereed},
      archiveprefix = {arXiv},
      eprint = {2401.17937},
      primaryclass = {math.OC},
      author = {Ghannam, Mohammed and Mexi, Gioni and Lam, Edward and Gleixner, Ambros},
      title = {Branch and Price for the Length-constrained Cycle Partition Problem}
    }

15. Halbig, K., Hoen, A., Gleixner, A., Witzig, J., and Weninger, D. (2024). A Diving Heuristic for Mixed-integer Problems with Unbounded Semi-continuous Variables. [arXiv]
    [BibTeX]

    @misc{2024_HalbigEtAl_Divingheuristic,
      archiveprefix = {arXiv},
      eprint = {2403.19411},
      primaryclass = {math.OC},
      year = {2024},
      author = {Halbig, Katrin and Hoen, Alexander and Gleixner, Ambros and Witzig, Jakob and Weninger, Dieter},
      title = {A Diving Heuristic for Mixed-integer Problems with Unbounded Semi-continuous Variables}
    }

16. Hoen, A., Kamp, D., and Gleixner, A. (2024). MIP-DD: A Delta Debugger for Mixed Integer Programming Solvers. [arXiv]
    [BibTeX]

    @misc{2024_HoenKampGleixner_Mipdebugger,
      archiveprefix = {arXiv},
      eprint = {2405.19770},
      primaryclass = {math.OC},
      year = {2024},
      author = {Hoen, Alexander and Kamp, Dominik and Gleixner, Ambros},
      title = {MIP-DD: A Delta Debugger for Mixed Integer Programming Solvers}
    }

17. Hoen, A., Oertel, A., Gleixner, A., and Nordström, J. (2024). Certifying MIP-based Presolve Reductions for 0-1 Integer Linear Programs. Proceedings of the International Conference on the Integration of Constraint Programming, Artificial Intelligence, and Operations Research, 310–328. DOI: 10.1007/978-3-031-60597-0_20 [arXiv]
    [BibTeX]

    @inproceedings{2024_HoenOertelGleixnerNordstrm_Mippresolvecertification,
      year = {2024},
      booktitle = {Proceedings of the International Conference on the Integration of Constraint Programming, Artificial Intelligence, and Operations Research},
      pages = {310-328},
      doi = {10.1007/978-3-031-60597-0_20},
      archiveprefix = {arXiv},
      eprint = {2401.09277},
      primaryclass = {math.OC},
      author = {Hoen, Alexander and Oertel, Andy and Gleixner, Ambros and Nordström, Jakob},
      title = {Certifying MIP-based Presolve Reductions for 0-1 Integer Linear Programs}
    }

18. Besançon, M., Garcia, J. D., Legat, B., and Sharma, A. (2023). Flexible Differentiable Optimization Via Model Transformations. INFORMS Journal on Computing. DOI: 10.1287/ijoc.2022.0283 [URL] [arXiv]
    [BibTeX]

    @article{2022_BesanconJoaquimBenotAkshay_Differentiableoptimization,
      year = {2023},
      journal = {INFORMS Journal on Computing},
      month = aug,
      doi = {10.1287/ijoc.2022.0283},
      url = {https://pubsonline.informs.org/doi/epdf/10.1287/ijoc.2022.0283},
      archiveprefix = {arXiv},
      eprint = {2206.06135},
      primaryclass = {cs.LG},
      author = {Besançon, Mathieu and Garcia, Joaquim Dias and Legat, Benoît and Sharma, Akshay},
      title = {Flexible Differentiable Optimization Via Model Transformations}
    }

19. Bestuzheva, K., Gleixner, A., and Vigerske, S. (2023). A Computational Study of Perspective Cuts. Mathematical Programming Computation, 15, 703–731. DOI: 10.1007/s12532-023-00246-4 [URL] [arXiv]
    [BibTeX]

    @article{2021_BestuzhevaGleixnerVigerske_Perspectivecuts,
      year = {2023},
      journal = {Mathematical Programming Computation},
      volume = {15},
      pages = {703-731},
      doi = {10.1007/s12532-023-00246-4},
      note = {ZIB report 21-07},
      url = {https://nbn-resolving.org/urn:nbn:de:0297-zib-81821},
      archiveprefix = {arXiv},
      eprint = {2103.09573},
      primaryclass = {math.OC},
      author = {Bestuzheva, Ksenia and Gleixner, Ambros and Vigerske, Stefan},
      title = {A Computational Study of Perspective Cuts}
    }

20. Bestuzheva, K., Gleixner, A., and Achterberg, T. (2023). Efficient Separation of RLT Cuts for Implicit and Explicit Bilinear Terms. Proceedings of the Conference on Integer Programming and Combinatorial Optimization, 14–28. DOI: 10.1007/978-3-031-32726-1_2 [arXiv]
    [BibTeX]

    @inproceedings{2022_BestuzhevaGleixnerAchterberg_Rltcutsbilinear:1,
      year = {2023},
      booktitle = {Proceedings of the Conference on Integer Programming and Combinatorial Optimization},
      pages = {14-28},
      doi = {10.1007/978-3-031-32726-1_2},
      archiveprefix = {arXiv},
      eprint = {2211.13545},
      primaryclass = {math.OC},
      author = {Bestuzheva, Ksenia and Gleixner, Ambros and Achterberg, Tobias},
      title = {Efficient Separation of RLT Cuts for Implicit and Explicit Bilinear Terms}
    }

21. Gleixner, A., Gottwald, L., and Hoen, A. (2023). PaPILO: a Parallel Presolving Library for Integer and Linear Programming with Multiprecision Support. INFORMS Journal on Computing. DOI: 10.1287/ijoc.2022.0171 [arXiv]
    [BibTeX]

    @article{2022_GleixnerGottwaldHoen_PapiloMultiprecision,
      year = {2023},
      journal = {INFORMS Journal on Computing},
      doi = {10.1287/ijoc.2022.0171},
      archiveprefix = {arXiv},
      eprint = {2206.10709},
      primaryclass = {math.OC},
      author = {Gleixner, Ambros and Gottwald, Leona and Hoen, Alexander},
      title = {PaPILO: a Parallel Presolving Library for Integer and Linear Programming with Multiprecision Support}
    }

22. Turner, M., Berthold, T., Besançon, M., and Koch, T. (2023). Cutting Plane Selection with Analytic Centers and Multiregression. Proceedings of the International Conference on the Integration of Constraint Programming, Artificial Intelligence, and Operations Research. [arXiv]
    [BibTeX]

    @inproceedings{2022_TurnerBertholdBesanconKoch_Cuttingplanemultiregression,
      year = {2023},
      booktitle = {Proceedings of the International Conference on the Integration of Constraint Programming, Artificial Intelligence, and Operations Research},
      archiveprefix = {arXiv},
      eprint = {2212.07231},
      primaryclass = {math.OC},
      author = {Turner, Mark and Berthold, Timo and Besançon, Mathieu and Koch, Thorsten},
      title = {Cutting Plane Selection with Analytic Centers and Multiregression}
    }

23. Berthold, T., Mexi, G., and Salvagnin, D. (2023). Using Multiple Reference Vectors and Objective Scaling in the Feasibility Pump. EURO Journal on Computational Optimization, 11. DOI: 10.1016/j.ejco.2023.100066
    [BibTeX]

    @article{2023_BertholdMexiSalvagnin_Multiplereferencevectors,
      year = {2023},
      journal = {EURO Journal on Computational Optimization},
      volume = {11},
      doi = {10.1016/j.ejco.2023.100066},
      author = {Berthold, Timo and Mexi, Gioni and Salvagnin, Domenico},
      title = {Using Multiple Reference Vectors and Objective Scaling in the Feasibility Pump}
    }

24. Bestuzheva, K., Chmiela, A., Müller, B., Serrano, F., Vigerske, S., and Wegscheider, F. (2023). Global Optimization of Mixed-integer Nonlinear Programs with SCIP 8.0. Journal of Global Optimization. DOI: 10.1007/s10898-023-01345-1 [URL] [arXiv]
    [BibTeX]

    @article{2023_BestuzhevaEtAl_GlobaloptimizationScip80,
      year = {2023},
      journal = {Journal of Global Optimization},
      doi = {10.1007/s10898-023-01345-1},
      note = {ZIB report 23-01},
      url = {https://nbn-resolving.org/urn:nbn:de:0297-zib-89348},
      archiveprefix = {arXiv},
      eprint = {2301.00587},
      primaryclass = {math.OC},
      author = {Bestuzheva, Ksenia and Chmiela, Antonia and Müller, Benjamin and Serrano, Felipe and Vigerske, Stefan and Wegscheider, Fabian},
      title = {Global Optimization of Mixed-integer Nonlinear Programs with SCIP 8.0}
    }

25. Bestuzheva, K., Besançon, M., Chen, W.-K., Chmiela, A., Donkiewicz, T., van Doornmalen, J., Eifler, L., Gaul, O., Gamrath, G., Gleixner, A., Gottwald, L., Graczyk, C., Halbig, K., Hoen, A., Hojny, C., van der Hulst, R., Koch, T., Lübbecke, M., Maher, S. J., … Witzig, J. (2023). Enabling Research Through the SCIP Optimization Suite 8.0. ACM Transactions on Mathematical Software. DOI: 10.1145/3585516 [arXiv]
    [BibTeX]

    @article{2023_BestuzhevaEtAl_ResearchScip,
      year = {2023},
      journal = {ACM Transactions on Mathematical Software},
      doi = {10.1145/3585516},
      archiveprefix = {arXiv},
      eprint = {2303.07101},
      primaryclass = {math.OC},
      author = {Bestuzheva, Ksenia and Besançon, Mathieu and Chen, Wei-Kun and Chmiela, Antonia and Donkiewicz, Tim and van Doornmalen, Jasper and Eifler, Leon and Gaul, Oliver and Gamrath, Gerald and Gleixner, Ambros and Gottwald, Leona and Graczyk, Christoph and Halbig, Katrin and Hoen, Alexander and Hojny, Christopher and van der Hulst, Rolf and Koch, Thorsten and Lübbecke, Marco and Maher, Stephen J. and Matter, Frederic and Mühmer, Erik and Müller, Benjamin and Pfetsch, Marc and Rehfeldt, Daniel and Schlein, Steffan and Schlösser, Franziska and Serrano, Felipe and Shinano, Yuji and Sofranac, Boro and Turner, Mark and Vigerske, Stefan and Wegscheider, Fabian and Wellner, Philipp and Weninger, Dieter and Witzig, Jakob},
      title = {Enabling Research Through the SCIP Optimization Suite 8.0}
    }

26. Chmiela, A., Gleixner, A., Lichocki, P., and Pokutta, S. (2023). Online Learning for Scheduling MIP Heuristics. Proceedings of the International Conference on the Integration of Constraint Programming, Artificial Intelligence, and Operations Research, 114–123. DOI: 10.1007/978-3-031-33271-5_8 [arXiv]
    [BibTeX]

    @inproceedings{2023_ChmielaGleixnerLichockiPokutta_Onlinelearningscheduling,
      year = {2023},
      booktitle = {Proceedings of the International Conference on the Integration of Constraint Programming, Artificial Intelligence, and Operations Research},
      pages = {114-123},
      doi = {10.1007/978-3-031-33271-5_8},
      archiveprefix = {arXiv},
      eprint = {2304.03755},
      primaryclass = {math.OC},
      author = {Chmiela, Antonia and Gleixner, Ambros and Lichocki, Pawel and Pokutta, Sebastian},
      title = {Online Learning for Scheduling MIP Heuristics}
    }

27. Chmiela, A., Muñoz, G., and Serrano, F. (2023). Monoidal Strengthening and Unique Lifting in MIQCPs. Proceedings of the Conference on Integer Programming and Combinatorial Optimization. [URL]
    [BibTeX]

    @inproceedings{2023_ChmielaMuozSerrano_Monoidalstrengthening:1,
      year = {2023},
      booktitle = {Proceedings of the Conference on Integer Programming and Combinatorial Optimization},
      url = {https://gonzalomunoz.org/monoidalforMIQCP.pdf},
      author = {Chmiela, Antonia and Muñoz, Gonzalo and Serrano, Felipe},
      title = {Monoidal Strengthening and Unique Lifting in MIQCPs}
    }

28. Eifler, L., and Gleixner, A. (2023). A Computational Status Update for Exact Rational Mixed Integer Programming. Mathematical Programming, 197, 793–812. DOI: 10.1007/s10107-021-01749-5 [arXiv]
    [BibTeX]

    @article{2023_EiflerGleixner_Exactrationalmip,
      year = {2023},
      journal = {Mathematical Programming},
      volume = {197},
      pages = {793-812},
      doi = {10.1007/s10107-021-01749-5},
      archiveprefix = {arXiv},
      eprint = {2101.09141},
      primaryclass = {math.OC},
      author = {Eifler, Leon and Gleixner, Ambros},
      title = {A Computational Status Update for Exact Rational Mixed Integer Programming}
    }

29. Ghannam, M., and Gleixner, A. (2023). Hybrid Genetic Search for Dynamic Vehicle Routing with Time Windows. Proceedings of the Conference of the Society for Operations Research in Germany. [arXiv]
    [BibTeX]

    @inproceedings{2023_GhannamGleixner_Hybridgeneticsearch,
      year = {2023},
      booktitle = {Proceedings of the Conference of the Society for Operations Research in Germany},
      archiveprefix = {arXiv},
      eprint = {2307.11800},
      primaryclass = {cs.NE},
      author = {Ghannam, Mohammed and Gleixner, Ambros},
      title = {Hybrid Genetic Search for Dynamic Vehicle Routing with Time Windows}
    }

30. Mexi, G., Berthold, T., Gleixner, A., and Nordström, J. (2023). Improving Conflict Analysis in MIP Solvers by Pseudo-Boolean Reasoning. Proceedings of the 29th International Conference on Principles and Practice of Constraint Programming (CP 2023), 280, 27:1–27:19, DOI: 10.4230/LIPIcs.CP.2023.27 [arXiv]
    [BibTeX]

    @inproceedings{2023_MexiBertholdGleixnerNordstrm_ConflictanalysisPseudoboolean,
      year = {2023},
      booktitle = {Proceedings of the 29th International Conference on Principles and Practice of Constraint Programming (CP 2023)},
      volume = {280},
      pages = {27:1-27:19,},
      doi = {10.4230/LIPIcs.CP.2023.27},
      archiveprefix = {arXiv},
      eprint = {2307.14166},
      primaryclass = {math.OC},
      author = {Mexi, Gioni and Berthold, Timo and Gleixner, Ambros and Nordström, Jakob},
      title = {Improving Conflict Analysis in MIP Solvers by Pseudo-Boolean Reasoning}
    }

31. Mexi, G., Besançon, M., Bolusani, S., Chmiela, A., Hoen, A., and Gleixner, A. (2023). Scylla: a Matrix-free Fix-propagate-and-project Heuristic for Mixed-integer Optimization. Proceedings of the Conference of the Society for Operations Research in Germany. [arXiv]
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    @inproceedings{2023_MexiEtAl_Scyllaheuristic,
      year = {2023},
      booktitle = {Proceedings of the Conference of the Society for Operations Research in Germany},
      archiveprefix = {arXiv},
      eprint = {2307.03466},
      primaryclass = {math.OC},
      author = {Mexi, Gioni and Besançon, Mathieu and Bolusani, Suresh and Chmiela, Antonia and Hoen, Alexander and Gleixner, Ambros},
      title = {Scylla: a Matrix-free Fix-propagate-and-project Heuristic for Mixed-integer Optimization}
    }

32. Turner, M., Berthold, T., Besançon, M., and Koch, T. (2023). Branching Via Cutting Plane Selection: Improving Hybrid Branching. [arXiv]
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    @misc{2023_TurnerBertholdBesanconKoch_Branchingcuttingplane,
      archiveprefix = {arXiv},
      eprint = {2306.06050},
      primaryclass = {cs.RO},
      year = {2023},
      author = {Turner, Mark and Berthold, Timo and Besançon, Mathieu and Koch, Thorsten},
      title = {Branching Via Cutting Plane Selection: Improving Hybrid Branching}
    }

33. Turner, M., Berthold, T., and Besançon, M. (2023). A Context-Aware Cutting Plane Selection Algorithm for Mixed-Integer Programming. Proceedings of the Conference of the Society for Operations Research in Germany. [arXiv]
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    @inproceedings{2023_TurnerBertholdBesancon_Contextawarecuttingplane,
      year = {2023},
      booktitle = {Proceedings of the Conference of the Society for Operations Research in Germany},
      archiveprefix = {arXiv},
      eprint = {2307.07322},
      primaryclass = {math.OC},
      author = {Turner, Mark and Berthold, Timo and Besançon, Mathieu},
      title = {A Context-Aware Cutting Plane Selection Algorithm for Mixed-Integer Programming}
    }

34. Turner, M., Chmiela, A., Koch, T., and Winkler, M. (2023). PySCIPOpt-ML: Embedding Trained Machine Learning Models Into Mixed-integer Programs. [arXiv]
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    @misc{2023_TurnerChmielaKochMichael_Pyscipoptml,
      archiveprefix = {arXiv},
      eprint = {2312.08074},
      primaryclass = {math.OC},
      year = {2023},
      author = {Turner, Mark and Chmiela, Antonia and Koch, Thorsten and Winkler, Michael},
      title = {PySCIPOpt-ML: Embedding Trained Machine Learning Models Into Mixed-integer Programs}
    }

35. Woodstock, Z., and Pokutta, S. (2023). Splitting the Conditional Gradient Algorithm. [arXiv]
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    @misc{2023_WoodstockPokutta_Conditionalgradientnonconvex,
      archiveprefix = {arXiv},
      eprint = {2311.05381},
      primaryclass = {math.OC},
      year = {2023},
      author = {Woodstock, Zev and Pokutta, Sebastian},
      title = {Splitting the Conditional Gradient Algorithm}
    }

36. van Doornmalen, J., Eifler, L., Gleixner, A., and Hojny, C. (2023). A Proof System for Certifying Symmetry and Optimality Reasoning in Integer Programming. [arXiv]
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    @misc{2023_vanEiflerGleixnerHojny_Proofsystemsymmetry,
      archiveprefix = {arXiv},
      eprint = {2311.03877},
      primaryclass = {math.OC},
      year = {2023},
      author = {van Doornmalen, Jasper and Eifler, Leon and Gleixner, Ambros and Hojny, Christopher},
      title = {A Proof System for Certifying Symmetry and Optimality Reasoning in Integer Programming}
    }

37. Wilken, S. E., Besançon, M., Kratochvíl, M., Kuate, C. A. F., Trefois, C., Gu, W., and Ebenhöh, O. (2022). Interrogating the Effect of Enzyme Kinetics on Metabolism Using Differentiable Constraint-based Models. Metabolic Engineering.
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    @article{2022_ElmoEtAl_Enzymekineticsmetabolism,
      year = {2022},
      journal = {Metabolic Engineering},
      month = nov,
      author = {Wilken, St. Elmo and Besançon, Mathieu and Kratochvíl, Miroslav and Kuate, Chilperic Armel Foko and Trefois, Christophe and Gu, Wei and Ebenhöh, Oliver},
      title = {Interrogating the Effect of Enzyme Kinetics on Metabolism Using Differentiable Constraint-based Models}
    }

38. Gasse, M., Bowly, S., Cappart, Q., Charfreitag, J., Charlin, L., Chételat, D., Chmiela, A., Dumouchelle, J., Gleixner, A., Kazachkov, A. M., Khalil, E., Lichocki, P., Lodi, A., Lubin, M., Maddison, C. J., Christopher, M., Papageorgiou, D. J., Parjadis, A., Pokutta, S., … Kun, M. (2022). The Machine Learning for Combinatorial Optimization Competition (ML4CO): Results and Insights. Proceedings of the Conference on Neural Information Processing Systems, 176, 220–231. [URL] [arXiv]
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    @inproceedings{2022_GasseEtAl_Ml4coinsights,
      year = {2022},
      booktitle = {Proceedings of the Conference on Neural Information Processing Systems},
      month = jun,
      volume = {176},
      pages = {220–231},
      url = {https://proceedings.mlr.press/v176/gasse22a.html},
      archiveprefix = {arXiv},
      eprint = {2203.02433},
      primaryclass = {cs.LG},
      author = {Gasse, Maxime and Bowly, Simon and Cappart, Quentin and Charfreitag, Jonas and Charlin, Laurent and Chételat, Didier and Chmiela, Antonia and Dumouchelle, Justin and Gleixner, Ambros and Kazachkov, Aleksandr M. and Khalil, Elias and Lichocki, Pawel and Lodi, Andrea and Lubin, Miles and Maddison, Chris J. and Christopher, Morris and Papageorgiou, Dimitri J. and Parjadis, Augustin and Pokutta, Sebastian and Prouvost, Antoine and Scavuzzo, Lara and Zarpellon, Giulia and Yang, Linxin and Lai, Sha and Wang, Akang and Luo, Xiaodong and Zhou, Xiang and Huang, Haohan and Shao, Shengcheng and Zhu, Yuanming and Zhang, Dong and Quan, Tao and Cao, Zixuan and Xu, Yang and Huang, Zhewei and Zhou, Shuchang and Binbin, Chen and Minggui, He and Hao, Hao and Zhiyu, Zhang and Zhiwu, An and Kun, Mao},
      title = {The Machine Learning for Combinatorial Optimization Competition (ML4CO): Results and Insights}
    }

39. Besançon, M., Carderera, A., and Pokutta, S. (2022). FrankWolfe.jl: A High-Performance and Flexible Toolbox for Frank-Wolfe Algorithms and Conditional Gradients. INFORMS Journal on Computing. [arXiv] [summary] [slides] [code]
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    @article{2021_BesanconCardereraPokutta_Frankwolfetoolbox,
      year = {2022},
      journal = {INFORMS Journal on Computing},
      month = feb,
      archiveprefix = {arXiv},
      eprint = {2104.06675},
      primaryclass = {math.OC},
      author = {Besançon, Mathieu and Carderera, Alejandro and Pokutta, Sebastian},
      title = {FrankWolfe.jl: A High-Performance and Flexible Toolbox for Frank-Wolfe Algorithms and Conditional Gradients},
      code = {https://github.com/ZIB-IOL/FrankWolfe.jl},
      slides = {https://pokutta.com/slides/20210710_FW-simpleSteps-SelfConcordance.pdf},
      summary = {https://pokutta.com/blog/research/2021/04/20/FrankWolfejl.html}
    }

40. Sofranac, B., Gleixner, A., and Pokutta, S. (2022). Accelerating Domain Propagation: An Efficient GPU-parallel Algorithm Over Sparse Matrices. Parallel Computing, 109, 102874. DOI: 10.1016/j.parco.2021.102874 [arXiv] [summary]
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    @article{2020_SofranacGleixnerPokutta_Domainpropagation,
      year = {2022},
      journal = {Parallel Computing},
      volume = {109},
      pages = {102874},
      doi = {10.1016/j.parco.2021.102874},
      archiveprefix = {arXiv},
      eprint = {2009.07785},
      primaryclass = {cs.DC},
      author = {Sofranac, Boro and Gleixner, Ambros and Pokutta, Sebastian},
      title = {Accelerating Domain Propagation: An Efficient GPU-parallel Algorithm Over Sparse Matrices},
      summary = {https://pokutta.com/blog/research/2020/09/20/gpu-prob.html}
    }

41. Macdonald, J., Besançon, M., and Pokutta, S. (2022). Interpretable Neural Networks with Frank-Wolfe: Sparse Relevance Maps and Relevance Orderings. Proceedings of the International Conference on Machine Learning. [arXiv] [poster] [video]
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    @inproceedings{2021_MacdonaldBesanconPokutta_Interpretableneuralnetworks,
      year = {2022},
      booktitle = {Proceedings of the International Conference on Machine Learning},
      archiveprefix = {arXiv},
      eprint = {2110.08105},
      primaryclass = {cs.LG},
      author = {Macdonald, Jan and Besançon, Mathieu and Pokutta, Sebastian},
      title = {Interpretable Neural Networks with Frank-Wolfe: Sparse Relevance Maps and Relevance Orderings},
      poster = {https://pokutta.com/slides/20220712_icml_poster_interpretable_rde.pdf},
      video = {https://slideslive.com/38983588}
    }

42. Sofranac, B., Gleixner, A., and Pokutta, S. (2022). An Algorithm-independent Measure of Progress for Linear Constraint Propagation. Constraints, 27, 432–455. DOI: 10.1007/s10601-022-09338-9 [arXiv]
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    @article{2021_SofranacGleixnerPokutta_Progressmeasure,
      year = {2022},
      journal = {Constraints},
      volume = {27},
      pages = {432-455},
      doi = {10.1007/s10601-022-09338-9},
      archiveprefix = {arXiv},
      eprint = {2106.07573},
      primaryclass = {math.OC},
      author = {Sofranac, Boro and Gleixner, Ambros and Pokutta, Sebastian},
      title = {An Algorithm-independent Measure of Progress for Linear Constraint Propagation}
    }

43. Chmiela, A., Muñoz, G., and Serrano, F. (2022). On the Implementation and Strengthening of Intersection Cuts for QCQPs. Mathematical Programming B, 197, 549–586. DOI: 10.1007/s10107-022-01808-5
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    @article{2022_ChmielaMuozSerrano_Intersectioncutsqcqps,
      year = {2022},
      journal = {Mathematical Programming B},
      volume = {197},
      pages = {549-586},
      doi = {10.1007/s10107-022-01808-5},
      author = {Chmiela, Antonia and Muñoz, Gonzalo and Serrano, Felipe},
      title = {On the Implementation and Strengthening of Intersection Cuts for QCQPs}
    }

44. Eifler, L., Gleixner, A., and Pulaj, J. (2022). A Safe Computational Framework for Integer Programming Applied to Chvátal’s Conjecture. ACM Transactions on Mathematical Software, 48(2), 1–12. DOI: 10.1145/3485630 [arXiv]
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    @article{2022_EiflerGleixnerPulaj_Safeintegerprogramming,
      year = {2022},
      journal = {ACM Transactions on Mathematical Software},
      volume = {48},
      number = {2},
      pages = {1-12},
      doi = {10.1145/3485630},
      archiveprefix = {arXiv},
      eprint = {1809.01572},
      primaryclass = {math.CO},
      author = {Eifler, Leon and Gleixner, Ambros and Pulaj, Jonad},
      title = {A Safe Computational Framework for Integer Programming Applied to Chvátal's Conjecture}
    }

45. Hendrych, D., Troppens, H., Besançon, M., and Pokutta, S. (2022). Convex Integer Optimization with Frank-Wolfe Methods. [arXiv] [slides] [code]
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    @misc{2022_HendrychTroppensBesanconPokutta_Convexintegerfrankwolfe,
      archiveprefix = {arXiv},
      eprint = {2208.11010},
      primaryclass = {math.OC},
      year = {2022},
      author = {Hendrych, Deborah and Troppens, Hannah and Besançon, Mathieu and Pokutta, Sebastian},
      title = {Convex Integer Optimization with Frank-Wolfe Methods},
      code = {https://github.com/ZIB-IOL/Boscia.jl},
      slides = {https://pokutta.com/slides/20220915_boscia.pdf}
    }

46. Bestuzheva, K., Gleixner, A., and Völker, H. (2022). Strengthening SONC Relaxations with Constraints Derived From Variable Bounds. Proceedings of the Proceedings of the Hungarian Global Optimization Workshop HUGO 2022, 41–44. [URL] [arXiv]
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    @inproceedings{2023_BestuzhevaGleixnerVlker_Soncconstraints,
      year = {2022},
      booktitle = {Proceedings of the Proceedings of the Hungarian Global Optimization Workshop HUGO 2022},
      pages = {41-44},
      url = {https://inf.u-szeged.hu/hugo/},
      archiveprefix = {arXiv},
      eprint = {2304.12145},
      primaryclass = {math.OC},
      author = {Bestuzheva, Ksenia and Gleixner, Ambros and Völker, Helena},
      title = {Strengthening SONC Relaxations with Constraints Derived From Variable Bounds}
    }

47. Bestuzheva, K., Besançon, M., Chen, W.-K., Chmiela, A., Donkiewicz, T., van Doornmalen, J., Eifler, L., Gaul, O., Gamrath, G., Gleixner, A., Gottwald, L., Graczyk, C., Halbig, K., Hoen, A., Hojny, C., van der Hulst, R., Koch, T., Lübbecke, M., Maher, S. J., … Witzig, J. (2021). The SCIP Optimization Suite 8.0 (ZIB Report No. 21-41). Zuse Institute Berlin. [URL] [arXiv] [code]
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    @techreport{2021_BestuzhevaEtAl_Scip8,
      year = {2021},
      institution = {Zuse Institute Berlin},
      type = {ZIB Report},
      month = dec,
      number = {21-41},
      url = {https://nbn-resolving.org/urn:nbn:de:0297-zib-85309},
      archiveprefix = {arXiv},
      eprint = {2303.07101},
      primaryclass = {math.OC},
      author = {Bestuzheva, Ksenia and Besançon, Mathieu and Chen, Wei-Kun and Chmiela, Antonia and Donkiewicz, Tim and van Doornmalen, Jasper and Eifler, Leon and Gaul, Oliver and Gamrath, Gerald and Gleixner, Ambros and Gottwald, Leona and Graczyk, Christoph and Halbig, Katrin and Hoen, Alexander and Hojny, Christopher and van der Hulst, Rolf and Koch, Thorsten and Lübbecke, Marco and Maher, Stephen J. and Matter, Frederic and Mühmer, Erik and Müller, Benjamin and Pfetsch, Marc and Rehfeldt, Daniel and Schlein, Steffan and Schlösser, Franziska and Serrano, Felipe and Shinano, Yuji and Sofranac, Boro and Turner, Mark and Vigerske, Stefan and Wegscheider, Fabian and Wellner, Philipp and Weninger, Dieter and Witzig, Jakob},
      title = {The SCIP Optimization Suite 8.0},
      code = {https://scipopt.org}
    }

48. Carderera, A., Besançon, M., and Pokutta, S. (2021). Simple Steps Are All You Need: Frank-Wolfe and Generalized Self-concordant Functions. Proceedings of the Conference on Neural Information Processing Systems, 34, 5390–5401. [URL] [arXiv] [summary] [slides] [poster] [code]
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    @inproceedings{2024_CardereraBesanconPokutta_Scalablefrankwolfe:1,
      year = {2021},
      booktitle = {Proceedings of the Conference on Neural Information Processing Systems},
      month = may,
      volume = {34},
      pages = {5390–5401},
      url = {https://proceedings.neurips.cc/paper_files/paper/2021/file/2b323d6eb28422cef49b266557dd31ad-Paper.pdf},
      archiveprefix = {arXiv},
      eprint = {2105.13913},
      primaryclass = {math.OC},
      author = {Carderera, Alejandro and Besançon, Mathieu and Pokutta, Sebastian},
      title = {Simple Steps Are All You Need: Frank-Wolfe and Generalized Self-concordant Functions},
      code = {https://doi.org/10.5281/zenodo.4836009},
      poster = {https://pokutta.com/slides/20211120_poster_NeurIPS21_lSimple_steps_are_all_you_need.pdf},
      slides = {https://pokutta.com/slides/20210710_FW-simpleSteps-SelfConcordance.pdf},
      summary = {https://pokutta.com/blog/research/2021/10/09/self-concordant-abstract.html}
    }

49. Chmiela, A., Khalil, E. B., Gleixner, A., Lodi, A., and Pokutta, S. (2021). Learning to Schedule Heuristics in Branch-and-bound. Proceedings of the Conference on Neural Information Processing Systems, 34, 24235–24246. [URL] [arXiv] [poster]
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    @inproceedings{2021_ChmielaEtAl_Heuristicscheduling,
      year = {2021},
      booktitle = {Proceedings of the Conference on Neural Information Processing Systems},
      month = mar,
      volume = {34},
      pages = {24235–24246},
      url = {https://proceedings.neurips.cc/paper_files/paper/2021/file/cb7c403aa312160380010ee3dd4bfc53-Paper.pdf},
      archiveprefix = {arXiv},
      eprint = {2103.10294},
      primaryclass = {cs.LG},
      author = {Chmiela, Antonia and Khalil, Elias B. and Gleixner, Ambros and Lodi, Andrea and Pokutta, Sebastian},
      title = {Learning to Schedule Heuristics in Branch-and-bound},
      poster = {https://pokutta.com/slides/20211120_poster_NeurIPS21_learningheuristics.pdf}
    }

50. Ramin, E., Bestuzheva, K., Gargalo, C., Ramin, D., Schneider, C., Ramin, P., Flores-Alsina, X., Andersen, M., and Gernaey, K. (2021). Incremental Design of Water Symbiosis Networks with Prior Knowledge: the Case of an Industrial Park in Kenya. Science of the Total Environment, 751. DOI: 10.1016/j.scitotenv.2020.141706
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    @article{2021_RaminEtAl_Incrementalwatersymbiosis,
      year = {2021},
      journal = {Science of the Total Environment},
      volume = {751},
      doi = {10.1016/j.scitotenv.2020.141706},
      author = {Ramin, Elham and Bestuzheva, Ksenia and Gargalo, Carina and Ramin, Danial and Schneider, Carina and Ramin, Pedram and Flores-Alsina, Xavier and Andersen, Maj and Gernaey, Krist},
      title = {Incremental Design of Water Symbiosis Networks with Prior Knowledge: the Case of an Industrial Park in Kenya}
    }

51. Sofranac, B., Gleixner, A., and Pokutta, S. (2021). An Algorithm-independent Measure of Progress for Linear Constraint Propagation. Proceedings of the International Conference on Principles and Practice of Constraint Programming, 52:1–17. DOI: 10.4230/LIPIcs.CP.2021.52 [URL] [arXiv] [video]
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    @inproceedings{2021_SofranacGleixnerPokutta_Progressmeasure:1,
      year = {2021},
      booktitle = {Proceedings of the International Conference on Principles and Practice of Constraint Programming},
      pages = {52:1–17},
      doi = {10.4230/LIPIcs.CP.2021.52},
      url = {https://drops.dagstuhl.de/opus/volltexte/2021/15343/},
      archiveprefix = {arXiv},
      eprint = {2106.07573},
      primaryclass = {math.OC},
      author = {Sofranac, Boro and Gleixner, Ambros and Pokutta, Sebastian},
      title = {An Algorithm-independent Measure of Progress for Linear Constraint Propagation},
      video = {https://youtu.be/paZtGYlkBfE}
    }

52. Chmiela, A., Muñoz, G., and Serrano, F. (2021). On the Implementation and Strengthening of Intersection Cuts for QCQPs. Proceedings of the Conference on Integer Programming and Combinatorial Optimization, 134–147. DOI: 10.1007/978-3-030-73879-2_10
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    @inproceedings{2022_ChmielaMuozSerrano_Intersectioncutsqcqps:1,
      year = {2021},
      booktitle = {Proceedings of the Conference on Integer Programming and Combinatorial Optimization},
      pages = {134-147},
      doi = {10.1007/978-3-030-73879-2_10},
      author = {Chmiela, Antonia and Muñoz, Gonzalo and Serrano, Felipe},
      title = {On the Implementation and Strengthening of Intersection Cuts for QCQPs}
    }

53. Sofranac, B., Gleixner, A., and Pokutta, S. (2020). Accelerating Domain Propagation: An Efficient GPU-parallel Algorithm Over Sparse Matrices. Proceedings of the 10th IEEE/ACM Workshop on Irregular Applications: Architectures and Algorithms, IA3 2020, 1–11. DOI: 10.1109/IA351965.2020.00007 [arXiv] [summary] [slides] [video]
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    @inproceedings{2020_SofranacGleixnerPokutta_Domainpropagation:1,
      year = {2020},
      booktitle = {Proceedings of the 10th IEEE/ACM Workshop on Irregular Applications: Architectures and Algorithms, IA3 2020},
      pages = {1-11},
      doi = {10.1109/IA351965.2020.00007},
      archiveprefix = {arXiv},
      eprint = {2009.07785},
      primaryclass = {cs.DC},
      author = {Sofranac, Boro and Gleixner, Ambros and Pokutta, Sebastian},
      title = {Accelerating Domain Propagation: An Efficient GPU-parallel Algorithm Over Sparse Matrices},
      slides = {https://app.box.com/s/qy0pjmhtbm7shk2ypxjxlh2sj4nudvyu},
      summary = {https://pokutta.com/blog/research/2020/09/20/gpu-prob.html},
      video = {https://youtu.be/7mERPal9pVs}
    }