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Michael Gutmann
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    Michael Gutmann

    Michael Gutmann

    Senior Lecturer (Associate Professor) in Machine Learning.

    • Informatics, University of Edinburgh
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    • GitHub
    • Google Scholar
    • Semantic Scholar
    • Edinburgh Research Explorer

    I am a Senior Lecturer in Machine Learning at the School of Informatics of the University of Edinburgh, affiliated with the Institute for Adaptive & Neural Computation.

    I am broadly interested in developing methods for inference and experimental design and applying them to significant problems in the natural sciences.

    Recent papers:
    • JMLR: Variational Gibbs Inference for Statistical Model Estimation from Incomplete Data

    • ICML: Is Learning Summary Statistics Necessary for Likelihood-free Inference?
    • TMLR: Estimating the Density Ratio between Distributions with High Discrepancy using Multinomial Logistic Regression
    • TMLR: Bayesian Optimization with Informative Covariance
    • TMLR: Enhanced gradient-based MCMC in discrete spaces
    • Behaviormetrika: Statistical applications of contrastive learning
    • Accessibility
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