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  1. WGBoost WGBoost Public

    Repository for Wasserstein Gradient Boosting: A Framework for Distribution-Valued Supervised Learning

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  2. Discrete-Fisher-Bayes Discrete-Fisher-Bayes Public

    Experiment Codes for Generalised Bayesian Inference for Discrete Intractable Likelihoods

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  3. Bandit-Importance-Sampling Bandit-Importance-Sampling Public

    Source Code for Bandit Importance Sampling

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  4. KSD-Bayes KSD-Bayes Public

    Experiment Code for "Robust Generalised Bayesian Inference for Intractable Likelihoods" (https://arxiv.org/abs/2104.07359)

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  5. BNN-RidgeletPrior BNN-RidgeletPrior Public

    Experiment Codes for "The Ridgelet Prior: A Covariance Function Approach to Prior Specification for Bayesian Neural Networks".

    Python 1