Information Geometry in Machine Learning
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    Wu Lin,
    Frank Nielsen,
    Emtiyaz Khan,
    Mark Schmidt

    Blog posts about information geometry in machine learning

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    Jul 2, 2021 New workshop paper on Structured second-order methods via natural gradient descent out. Will be presented at the Beyond first-order methods in ML systems Workshop at ICML2021, see the spotlight talk.
    Jun 30, 2021 Tractable structured natural gradient descent using local parameterizations accepted at ICML2021!
    Jun 30, 2020 Handling the positive-definite constraint in the bayesian learning rule accepted at ICML2020, see the ICML talk.
    Jun 30, 2019 Fast and simple natural-gradient variational inference with mixture of exponential-family approximations accepted at ICML2019!
    Jun 1, 2018 Fast and scalable bayesian deep learning by weight-perturbation in Adam accepted at ICML2018!
    Apr 10, 2017 Conjugate-computation variational inference accepted at AIStats2017!

    Updated: October 06, 2021

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