Jan Schwiddessen

Measurable performance through algorithms. PhD candidate in mathematical optimization.

Here’s a list of my PhD talks with slides (PDF). If you have any questions, feel free to email me.

Conferences & Workshops

  • A low-rank high-precision solver for semidefinite programming
    OR 2024, Data, Learning, and Optimization, Munich, Germany, 2024 · Slides (PDF)

  • Exploiting low-rank SDP methods for solving Max-Cut
    25th International Symposium on Mathematical Programming (ISMP 2024), Montreal, Canada, 2024 · Slides (PDF)

  • A Low-rank SDP Approach for Semi-Supervised Support Vector Machines
    Klagenfurt–Berlin Workshop on Multiple Perspectives in Optimization (MPOpt), Klagenfurt, Austria, 2024 · Slides (PDF)

  • An Exact SDP based Approach for Semi-Supervised Support Vector Machines
    International Symposium on Combinatorial Optimization - ISCO 2024, La Laguna, Tenerife, Spain, 2024 · Slides (PDF)

  • Optimizing Semi-Supervised Support Vector Machines using Semidefinite Programming
    ODS 2023 - International Conference on Optimization and Decision Science, Ischia, Italy, 2023 · Slides (PDF)

  • Solving Max-Cut and QUBO Problems via Low-Rank Methods
    20th EUROpt Workshop: Continuous Optimization Working Group, Budapest, Hungary, 2023 · Slides (PDF)

  • Semidefinite Programming for Semi-Supervised Support Vector Machines
    Mixed-integer Nonlinear Optimization: a hatchery for modern mathematics, Short research announcement, Oberwolfach, Germany, 2023 · Slides (PDF)

  • Efficiently Solving QUBO Problems
    SIAM Conference on Optimization (OP23), Seattle, USA, 2023 · Slides (PDF)

  • A semidefinite approach for the single row facility layout problem
    OR 2021 - International Conference on Operations Research, Bern, Switzerland, 2021 (online) · Slides (PDF)

Seminars

  • An Exact Algorithm for Semi-Supervised Support Vector Machines using Strong SDP Bounds
    Seminar, Optimization and Systems Theory, KTH Stockholm, Stockholm, Sweden, 2024 · Slides (PDF)

  • Semidefinite Programming: The Key to Semi-Supervised Support Vector Machines
    Doctoral Seminar in Mathematics, University of Klagenfurt, Klagenfurt, Austria, 2024 · Slides (PDF)

  • Solving Max-Cut using Low-Rank Methods
    Doctoral Seminar in Mathematics, University of Klagenfurt, Klagenfurt, Austria, 2023 · Slides (PDF)

  • An Exact Solver for QUBO Problems using the Mixing Method
    Seminario di Dipartimento di Ingegneria Informatica Automatica e Gestionale (DIAG), Sapienza University of Rome, Rome, Italy, 2023 · Slides (PDF)

  • Semidefinite Programming for Integer Quadratic Problems
    Doctoral advisory board, University of Klagenfurt, Klagenfurt, Austria, 2023

  • Insights: A Mixing Method based Branch-and-Bound Solver for QUBO Problems
    Université Fédérale de Toulouse, ANITI, INRAE, Castanet-Tolosan, France, 2022 · Slides (PDF)

  • A Mixing Method based Branch-and-Bound Solver for QUBO Problems
    Second doc.funds doctoral school Status Seminar, University of Klagenfurt, Klagenfurt, Austria, 2022 · Slides (PDF)

  • Variable Fixing for Max-Cut
    First doc.funds doctoral school Status Seminar, University of Klagenfurt, Klagenfurt, Austria, 2021 · Slides (PDF)

  • Facility layout problems: solution approaches and practical difficulties
    Doctoral Seminar in Mathematics, University of Klagenfurt, Klagenfurt, Austria, 2021 · Slides (PDF)