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jaabmar/README.md

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  1. cambridge-mlg/acp Public

    Implementation for the paper "Approximating full conformal prediction at scale via influence functions"

    Jupyter Notebook 11 1

  2. private-pgd Public

    Implementation for the paper "Privacy-preserving data release leveraging optimal transport and particle gradient descent"

    Python 6 1

  3. confounder-lower-bound Public

    Implementation for the paper "Hidden yet quantifiable: A lower bound for confounding strength using randomized trials"

    Python 3

  4. cp_fuse Public

    Implementation for the paper "Copyright-Protected Language Generation via Adaptive Model Fusion"

    Python 3

  5. HAIPW Public

    Implementation for the paper "Efficient Randomized Experiments Using Foundation Models"

    Python 3

  6. RAMEN Public

    Implementation for the paper "Doubly robust identification of treatment effects from multiple environments"

    Python 2

90 contributions in the last year

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April 2025

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