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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  1. 1
    Graph structures, random walks, and all that : learning graphs with jumping knowledge networks

    Graph structures, random walks, and all that : learning graphs with jumping knowledge networks by Xu, Keyulu.

    Published 2019
    Other Authors: “…Stefanie Jegelka.…”
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    Thesis
  2. 2
    Learning and optimization in the face of data perturbations

    Learning and optimization in the face of data perturbations by Staib, Matthew James.

    Published 2020
    Other Authors: “…Stefanie Jegelka.…”
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    Thesis
  3. 3
    Testing, Learning, and Optimization in High Dimensions

    Testing, Learning, and Optimization in High Dimensions by Gatmiry, Khashayar

    Published 2022
    Other Authors: “…Stefanie Jegelka…”
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    Thesis
  4. 4
    Efficient sampling for determinantal point processes

    Efficient sampling for determinantal point processes

    Published 2016
    Other Authors: “…Stefanie Jegelka and Suvrit Sra.…”
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    Thesis
  5. 5
    Diversity-inducing probability measures for machine learning

    Diversity-inducing probability measures for machine learning by Li, Chengtao,Ph. D.Massachusetts Institute of Technology.

    Published 2019
    Other Authors: “…Suvrit Sra and Stefanie Jegelka.…”
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    Thesis
  6. 6
    An exercise in selecting low-cost air quality sensor placements within an urban environment

    An exercise in selecting low-cost air quality sensor placements within an urban environment by Boghozian, Adrianna J.(Adrianna Judith)

    Published 2021
    Other Authors: “…Youssef Marzouk and Stefanie Jegelka.…”
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    Thesis
  7. 7
    Optimization as estimation with Gaussian processes in bandit settings

    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

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