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@TARPS-group

Trustworthy and Robust Probabilistic Systems Group

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  1. prob-pipe prob-pipe Public

    A Python framework for creating probabilistic workflows

    Python 7

  2. BayesPowerNMF BayesPowerNMF Public

    Robustly infer the number of components in a Bayesian NMF model

    Python

  3. bayesbag-model-selection-code bayesbag-model-selection-code Public

    Code to reproduce experiments from the paper "Reproducible Model Selection Using Bagged Posteriors"

    Python

  4. split-predictive-checks split-predictive-checks Public

    R

  5. high-dimensional-vi-code high-dimensional-vi-code Public

    Code to reproduce experiments from the paper "Challenges and Opportunities in High-dimensional Variational Inference"

  6. TADDAA TADDAA Public

    Code to reproduce experiments from "A Targeted Accuracy Diagnostic for Variational Approximations" (AISTATS 2023)

    Python

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