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 is broadly focused on the development of numerical methods for deep learning and machine learning. So far, I have worked on methods for

with a specific focus on those that might work at scale with few assumptions. My emphasis has been on applications in deep learning. I have not yet worked on, but am also interested in, the problems of fixed point computation and reinforcement learning.

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]
Twitter [link]

Preprints

Publications

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Selected Talks