Chris J. Maddison

e-mail: username [at] stats [dot] ox [dot] ac [dot] uk
username = cmaddis

I am a PhD candidate in the Statistical Machine Learning Group in the Department of Statistics at the University of Oxford supervised by Yee Whye Teh and Arnaud Doucet. My research agenda is broadly aimed at the development of methods for machine learning, including methods for the problems of

I am generally focused on the application of these methods at scale in deep learning and in theory that unifies their analysis.

I spend two days a week as a Research Scientist at DeepMind. I am an Open Philanthropy AI Fellow. I received my MSc. from the University of Toronto, working with Geoffrey Hinton. I received a NIPS Best Paper Award in 2014, and was one of the founding members of the AlphaGo project.

Curriculum vitae [pdf]
Google Scholar [profile]
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Preprints

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* indicates equal contribution.

Selected Talks