Edinburgh Research Explorer

Iain Murray

Personal Chair of Machine Learning and Inference

Profile photo

Willingness to take PhD students: Yes

Research Interests

Hierarchical probabilistic models, Bayesian inference, Machine Learning

Qualifications

2007PhD, Gatsby Computational Neuroscience Unit at University College London
2002BA MSci in Natural Sciences (Physics), University of Cambridge

Biography

Iain Murray is a Professor of Machine Learning and Infernce at the University of Edinburgh. He moved into Machine Learning from Physics after taking David MacKay’s undergraduate course in Cambridge. He obtained his PhD in 2007 from the Gatsby Computational Neuroscience Unit at UCL, under Zoubin Ghahramani. He was a commonwealth fellow in Machine Learning at the University of Toronto, before moving to Edinburgh in 2010. His research interests include building flexible probabilistic models of data, that can be applied widely: for example, to cosmology, images, neuroscience, perception, speech, sports, and text. Iain has developed several Markov chain Monte Carlo (MCMC) and neural methods for performing inference in these models.

Iain has been a program chair for ICLR (2018), publications chair for ICML (2017, 2018), and an area chair several times for AISTATS, ICLR, ICML, NeurIPS, and UAI. In 2018 he became the first Amazon Scholar in Europe.

Research outputs

  1. Diverse Ensembles Improve Calibration

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  2. Density Deconvolution with Normalizing Flows

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  3. Ordering Dimensions with Nested Dropout Normalizing Flows

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

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