Jannis Halbey

Jannis Halbey

My main interest lies in first-order methods for convex optimization. Lately I have worked on solving problems in semi-definite programming using conditional gradient methods.

Contact

office
Room 3107 at ZIB
e-mail
homepage
jannishal.github.io
languages
English and German

Curriculum vitae

since 2022
Researcher at TUB
Sep 2022
M.Sc. in Mathematics at Technical University of Darmstadt
Mar 2020
B.Sc. in Mathematics at Technical University of Darmstadt

Publications and preprints

Conference contributions

  1. Halbey, J., Roux, C., and Pokutta, S. Curvature-Dependent Lower Bounds for Frank-Wolfe. Advances in Neural Information Processing Systems, 39. To appear. Associated with NeurIPS 2026. [arXiv]
    [BibTeX]
    @inproceedings{2026_HalbeyRouxPokutta_Curvaturelowerbounds_2605-10595,
      booktitle = {Advances in Neural Information Processing Systems},
      series = {Advances in Neural Information Processing Systems},
      volume = {39},
      publisher = {Curran Associates},
      note = {To appear},
      archiveprefix = {arXiv},
      eprint = {2605.10595},
      arxiv = {arXiv:2605.10595},
      primaryclass = {math.OC},
      author = {Halbey, Jannis and Roux, Christophe and Pokutta, Sebastian},
      title = {Curvature-Dependent Lower Bounds for Frank-Wolfe}
    }
  2. Halbey, J., Deza, D., Zimmer, M., Roux, C., Stellato, B., and Pokutta, S. (2026). Lower Bounds for Frank-Wolfe on Strongly Convex Sets. Proceedings of the 43rd International Conference on Machine Learning, 306. Associated with ICML 2026. [arXiv]
    [BibTeX]
    @inproceedings{2026_HalbeyEtAl_Lowerboundsfrankwolfe_2602-04378,
      year = {2026},
      booktitle = {Proceedings of the 43rd International Conference on Machine Learning},
      series = {Proceedings of Machine Learning Research},
      volume = {306},
      month = jul,
      archiveprefix = {arXiv},
      eprint = {2602.04378},
      arxiv = {arXiv:2602.04378},
      primaryclass = {math.OC},
      author = {Halbey, Jannis and Deza, Daniel and Zimmer, Max and Roux, Christophe and Stellato, Bartolomeo and Pokutta, Sebastian},
      title = {Lower Bounds for Frank-Wolfe on Strongly Convex Sets}
    }
  3. Halbey, J., Rakotomandimby, S., Besançon, M., Designolle, S., and Pokutta, S. (2025). Efficient Quadratic Corrections for Frank-Wolfe Algorithms. Advances in Neural Information Processing Systems, 38. Associated with NeurIPS 2025. [arXiv]
    [BibTeX]
    @inproceedings{2025_HalbeyRakotomandimbyBesanconDesignollePokutta_Quadraticcorrections_2506-02635,
      year = {2025},
      booktitle = {Advances in Neural Information Processing Systems},
      series = {Advances in Neural Information Processing Systems},
      volume = {38},
      publisher = {Curran Associates},
      month = sep,
      archiveprefix = {arXiv},
      eprint = {2506.02635},
      arxiv = {arXiv:2506.02635},
      primaryclass = {math.OC},
      author = {Halbey, Jannis and Rakotomandimby, Seta and Besançon, Mathieu and Designolle, Sébastien and Pokutta, Sebastian},
      title = {Efficient Quadratic Corrections for Frank-Wolfe Algorithms}
    }

Articles, chapters and books

  1. Liu, Y.-C., Halbey, J., Pokutta, S., and Designolle, S. (2026). A Unified Toolbox for Multipartite Entanglement Certification. Physical Review A. To appear. DOI: 10.1103/tfsh-lwdj [URL] [arXiv]
    [BibTeX]
    @article{2025_LiuHalbeyPokuttaDesignolle_Unifiedtoolboxmultipartite_2507-17435,
      year = {2026},
      journal = {Physical Review A},
      month = oct,
      doi = {10.1103/tfsh-lwdj},
      note = {To appear},
      url = {https://journals.aps.org/pra/accepted/10.1103/tfsh-lwdj},
      archiveprefix = {arXiv},
      eprint = {2507.17435},
      arxiv = {arXiv:2507.17435},
      primaryclass = {quant-ph},
      author = {Liu, Ye-Chao and Halbey, Jannis and Pokutta, Sebastian and Designolle, Sébastien},
      title = {A Unified Toolbox for Multipartite Entanglement Certification}
    }
  2. Braun, G., Halbey, J., Pokutta, S., and Woodstock, Z. (2026). Flexible block-iterative analysis for the Frank-Wolfe algorithm. Journal of Optimization Theory and Applications, 210(37). DOI: 10.1007/s10957-026-03068-1 [URL] [arXiv]
    [BibTeX]
    @article{2024_BraunHalbeyPokuttaWoodstock_Blockiterativeanalysis,
      year = {2026},
      date = {2026-07-31},
      journal = {Journal of Optimization Theory and Applications},
      volume = {210},
      number = {37},
      doi = {10.1007/s10957-026-03068-1},
      url = {https://link.springer.com/article/10.1007/s10957-026-03068-1},
      archiveprefix = {arXiv},
      eprint = {2409.06931},
      arxiv = {arXiv:2409.06931},
      primaryclass = {math.OC},
      author = {Braun, Gábor and Halbey, Jannis and Pokutta, Sebastian and Woodstock, Zev},
      title = {Flexible block-iterative analysis for the Frank-Wolfe algorithm}
    }
  3. Besançon, M., Designolle, S., Halbey, J., Hendrych, D., Kuzinowicz, D., Pokutta, S., Troppens, H., Viladrich Herrmannsdoerfer, D., and Wirth, E. (2025). Improved Algorithms and Novel Applications of the FrankWolfe.jl Library. ACM Transactions on Mathematical Software, 51(4), 1–33. DOI: 10.1145/3765626 [URL] [arXiv]
    [BibTeX]
    @article{2025_BesanconEtAl_Frankwolfelibrary,
      year = {2025},
      date = {2025-12-12},
      journal = {ACM Transactions on Mathematical Software},
      month = dec,
      volume = {51},
      number = {4},
      pages = {1--33},
      doi = {10.1145/3765626},
      url = {https://dl.acm.org/doi/10.1145/3765626},
      archiveprefix = {arXiv},
      eprint = {2501.14613},
      arxiv = {arXiv:2501.14613},
      primaryclass = {math.OC},
      author = {Besançon, Mathieu and Designolle, Sébastien and Halbey, Jannis and Hendrych, Deborah and Kuzinowicz, Dominik and Pokutta, Sebastian and Troppens, Hannah and Viladrich Herrmannsdoerfer, Daniel and Wirth, Elias},
      title = {Improved Algorithms and Novel Applications of the FrankWolfe.jl Library}
    }

Talks and posters

Conference and workshop talks

Jul 2025
Corrective Frank-Wolfe: Unifying and Extending Correction Steps by Jannis Halbey
22nd Conference on Advances in Continuous Optimization (EUROPT), Southampton

Research seminar talks

Sep 2026
Curvature-Dependent Lower Bounds for Frank-Wolfe by Jannis Halbey
GHOST Research Seminar (GHOST), Grenoble
Apr 2025
Frank-Wolfe for Strongly Convex Sets by Jannis Halbey
IOL Research Seminar (IOL), Berlin

Poster presentations

Jul 2026
Curvature-Dependent Lower Bounds for Frank-Wolfe by Jannis Halbey
8th DOxML Conference, Ookayama
Jul 2026
Lower Bounds for Frank-Wolfe on Strongly Convex Sets by Jannis Halbey
43rd International Conference on Machine Learning (ICML), Seoul
Dec 2025
Efficient Quadratic Corrections for Frank-Wolfe Algorithms by Jannis Halbey
39th conference on neural information processing systems (NeurIPS), San Diego

Events

winter 2026
Machine Learning and Optimization, Berlin
Jul 2026
8th DOxML Conference, Ookayama
Jul 2026
43rd International Conference on Machine Learning (ICML), Seoul
summer 2026
Modern Topics in Machine Learning and Optimization, Berlin
Dec 2025
39th conference on neural information processing systems (NeurIPS), San Diego
winter 2025
Discrete Optimization and Machine Learning, Berlin
winter 2025
Analysis 1 and Linear Algebra for Engineers, Berlin
Jun 2025
22nd Conference on Advances in Continuous Optimization (EUROPT), Southampton
summer 2025
Discrete Optimization and Machine Learning, Berlin
summer 2025
Analysis II for Engineers, Berlin
winter 2024
Discrete Optimization and Machine Learning, Berlin
winter 2024
Analysis 1 and Linear Algebra for Engineers, Berlin
Sep 2024
5th Computational Optimization at Work (CO@Work), Berlin
summer 2024
Discrete Optimization and Machine Learning, Berlin
summer 2024
Analysis II for Engineers, Berlin
winter 2023
Discrete Optimization and Machine Learning, Berlin
winter 2023
Analysis 1 and Linear Algebra for Engineers, Berlin
summer 2023
Discrete Optimization and Machine Learning, Berlin
summer 2023
Analysis II for Engineers, Berlin
winter 2022
Discrete Optimization and Machine Learning, Berlin
winter 2022
Analysis II for Engineers, Berlin

Teaching

winter 2026
Teaching Assistant for Machine Learning and Optimization at TUB
winter 2026
Assistant for analysis 1 and linear algebra for engineering at TUB
summer 2026
Teaching Assistant for Modern Topics in Machine Learning and Optimization at TUB
summer 2026
Assistant for analysis 2 for Engineering at TUB
winter 2025
Teaching Assistant for Discrete Optimization and Machine Learning at TUB
winter 2025
Teaching Assistant for Analysis 1 and Linear Algebra for Engineers at TUB
summer 2025
Teaching Assistant for Discrete Optimization and Machine Learning at TUB
summer 2025
Teaching Assistant for Analysis II for Engineers at TUB
winter 2024
Teaching Assistant for Discrete Optimization and Machine Learning at TUB
winter 2024
Teaching Assistant for Analysis 1 and Linear Algebra for Engineers at TUB
summer 2024
Teaching Assistant for Discrete Optimization and Machine Learning at TUB
summer 2024
Teaching Assistant for Analysis II for Engineers at TUB
winter 2023
Teaching Assistant for Discrete Optimization and Machine Learning at TUB
winter 2023
Teaching Assistant for Analysis 1 and Linear Algebra for Engineers at TUB
summer 2023
Teaching Assistant for Discrete Optimization and Machine Learning at TUB
summer 2023
Teaching Assistant for Analysis II for Engineers at TUB
winter 2022
Teaching Assistant for Discrete Optimization and Machine Learning at TUB
winter 2022
Teaching Assistant for Analysis II for Engineers at TUB