Stefanie Jegelka

Stefanie Sabrina Jegelka is a German computer scientist whose research in machine learning includes submodular optimization in computer vision and deep learning for graph neural networks. She is an associate professor of computer science at the Massachusetts Institute of Technology, and Alexander von Humboldt Professor at the Technical University of Munich. Provided by Wikipedia
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    Learning and optimization in the face of data perturbations by Staib, Matthew James.

    Published 2020
    Other Authors: “…Stefanie Jegelka.…”
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    Thesis
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    Testing, Learning, and Optimization in High Dimensions by Gatmiry, Khashayar

    Published 2022
    Other Authors: “…Stefanie Jegelka…”
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    Thesis
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    Efficient sampling for determinantal point processes

    Published 2016
    Other Authors: “…Stefanie Jegelka and Suvrit Sra.…”
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    Optimization as estimation with Gaussian processes in bandit settings by Wang, Zi, Ph.D. Massachusetts Institute of Technology

    Published 2016
    Other Authors: “…Stefanie Jegelka and Leslie Pack Kaelbling.…”
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    Thesis