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DanWaxman/README.md

Hi, I'm Dan. I'm interested in Bayesian machine learning, particularly in dynamic environments. You can reach me at the email listed on this page!

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  1. DynamicOnlineBasisExpansions DynamicOnlineBasisExpansions Public

    [TMLR 2024] Dynamic Online Ensembles of Basis Expansions

    Python 1 1

  2. KurtButler/tangentspaces KurtButler/tangentspaces Public

    [NeurIPS 2024] Reproducible code for our article "Tangent Space Causal Inference: Leveraging Vector Fields for Causal Discovery in Dynamical Systems"

    Python 1

  3. DAGMA-DCE DAGMA-DCE Public

    [OJSP 2024] Code implementing the paper "DAGMA-DCE: Interpretable, Non-Parametric Differentiable Causal Discovery"

    Jupyter Notebook 1 2

  4. Lintel Lintel Public

    [FUSION 2024] A Gaussian Process-based Streaming Algorithm for Prediction of Time Series With Regimes and Outliers

    Jupyter Notebook 1

  5. danwaxman.github.io danwaxman.github.io Public

    Personal Website

    HTML