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@RAISELab-atUVA

RAISE-Lab

We study problems at the interface between Machine Learning, Optimization, and Privacy

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  1. lagrangian-dual-deep-learning lagrangian-dual-deep-learning Public

    Jupyter Notebook 17 2

  2. dnn-opf dnn-opf Public

    MATLAB 9 4

  3. Projected-Diffusion Projected-Diffusion Public

    Official implementation of Constrained Synthesis with Projected Diffusion Models (NeurIPS 2024)

    Python 5

  4. SPOFR SPOFR Public

    Learning to Rank with Fairness of Exposure

    Python

  5. ReadingGroup ReadingGroup Public

    weekly reading group

Repositories

Showing 5 of 5 repositories
  • Projected-Diffusion Public

    Official implementation of Constrained Synthesis with Projected Diffusion Models (NeurIPS 2024)

    RAISELab-atUVA/Projected-Diffusion’s past year of commit activity
    Python 5 0 0 0 Updated Dec 12, 2024
  • ReadingGroup Public

    weekly reading group

    RAISELab-atUVA/ReadingGroup’s past year of commit activity
    0 0 0 0 Updated Jun 21, 2023
  • dnn-opf Public
    RAISELab-atUVA/dnn-opf’s past year of commit activity
    MATLAB 9 4 0 0 Updated May 25, 2023
  • SPOFR Public

    Learning to Rank with Fairness of Exposure

    RAISELab-atUVA/SPOFR’s past year of commit activity
    Python 0 0 0 0 Updated Jul 23, 2022
  • RAISELab-atUVA/lagrangian-dual-deep-learning’s past year of commit activity
    Jupyter Notebook 17 2 1 0 Updated Sep 27, 2021

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