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@optimization-for-data-driven-science

Optimization for Data-Driven Science (ODDS) Research Group @ USC

Designing and studying of efficient large scale data analysis algorithms for machine learning tools and models. Led by Professor Meisam Razaviyayn

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  1. FERMI FERMI Public

    The implementation of Fair Empirical Risk Minimization

    Jupyter Notebook 18 1

  2. RIFLE RIFLE Public

    Python 7 1

  3. Renyi-Fair-Inference Renyi-Fair-Inference Public

    Python 6 3

  4. FairFashionMNIST FairFashionMNIST Public

    Python 5 1

  5. DP-with-public-data DP-with-public-data Public

    Optimal Differentially Private Learning with Public Data

    Python 5 1

  6. DAIR DAIR Public

    Python 4 1

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