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Optimization for and with Machine Learning March 2020 - August 2024

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    Gaussian mixture identifiability from degree 6 moments Tech Report

    F.A. Taveira Blomenhofer (Filipe Alexander)

    July 2023
    open access
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    Sharpness and well-conditioning of nonsmooth convex formulations in statistical signal recovery Tech Report

    L. Ding (Lijun) and A.L. Wang (Alex Liheng)

    July 2023
    open access
  • Gaussian mixture identifiability from degree-6 moments Article

    Algebraic Statistics, 16(1), 1-28.

    F.A. Taveira Blomenhofer (Filipe Alexander)

    July 2023
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    Multi-objective population based training In Proceedings

    A. Dushatskiy (Arkadiy), A. Chebykin (Aleksandr), T. Alderliesten (Tanja) and P.A.N. Bosman (Peter)

    July 2023
    open access
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    Shrink-Perturb improves architecture mixing during Population Based Training for Neural Architecture Search Tech Report

    A. Chebykin (Aleksandr), A. Dushatskiy (Arkadiy), T. Alderliesten (Tanja) and P.A.N. Bosman (Peter)

    July 2023
    open access
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    Shrink-Perturb improves architecture mixing during Population Based Training for Neural Architecture Search In Proceedings

    A. Chebykin (Aleksandr), A. Dushatskiy (Arkadiy), T. Alderliesten (Tanja) and P.A.N. Bosman (Peter)

    September 2023
    open access
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    Total completion time scheduling under scenarios In Proceedings

    T. Bosman (Thomas), M. van Ee (Martijn), E. Ergen (Ekin), C. Imreh (Csanád), A. Marchetti Spaccamela (Alberto), Skutella, M. (Martin) and L. Stougie (Leen)

    December 2023
    open access
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    Hidden convexity, optimization, and algorithms on rotation matrices Tech Report

    A. Ramachandran (Akshay), K. Shu (Kevin) and A.L. Wang (Alex Liheng)

    April 2024
    open access
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