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@gutmanngroup

Gutmann Research Group

Repositories by the Gutmann machine learning group @ The University of Edinburgh.

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  1. minebed minebed Public

    Forked from stevenkleinegesse/minebed

    Source code for Bayesian Experimental Design for Implicit Models by Mutual Information Neural Estimation, ICML 2020, https://arxiv.org/abs/2002.08129

    Python 1

  2. bedimplicit bedimplicit Public

    Forked from stevenkleinegesse/bedimplicit

    Source code for "Efficient Bayesian Experimental Design for Implicit Models", AISTATS 2019, https://arxiv.org/abs/1810.09912

    Python

  3. GradBED GradBED Public

    Forked from stevenkleinegesse/GradBED

    Code for the paper "Gradient-Based Bayesian Experimental Design for Implicit Models using Mutual Information Lower Bounds" https://arxiv.org/abs/2105.04379

    Python

  4. seqbed seqbed Public

    Forked from stevenkleinegesse/seqbed

    Code for the paper "Sequential Bayesian Experimental Design for Implicit Models via Mutual Information", Bayesian Analysis 2021, https://arxiv.org/abs/2003.09379.

    Python

  5. tre_code tre_code Public

    Forked from benrhodes26/tre_code

    Python code for the paper "Telescoping Density-Ratio Estimation", NeurIPS 2020

    Python

  6. VNCE VNCE Public

    Forked from benrhodes26/VNCE

    Python code for the paper "Variational Noise-Contrastive Estimation", AISTATS 2019, http://proceedings.mlr.press/v89/rhodes19a/rhodes19a.pdf

    Jupyter Notebook

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