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  1. nonparametricDoublyRobust nonparametricDoublyRobust Public

    Simulate bias and CI coverage for plugin vs doubly robust estimators using parametric vs. nonparametric nuisance parameter estimators.

    R 2 5

  2. NPDR NPDR Public

    Forked from ainaimi/NPDR

    R

  3. Post-Processed-Fair-Predictors Post-Processed-Fair-Predictors Public

    Post-processing predictors to satisfy approximate counterfactual equalized odds.

    Jupyter Notebook

  4. FAir-Double-Ensemble-Learning FAir-Double-Ensemble-Learning Public

    Code accompanying the paper "FADE: FAir Double Ensemble Learning for Observable and Counterfactual Outcomes"

    Jupyter Notebook

  5. AIF360 AIF360 Public

    Forked from Trusted-AI/AIF360

    A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.

    Python

  6. personal_site personal_site Public

    Updating to new hugo theme

    HTML