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POPL 2019
Sun 13 - Sat 19 January 2019 Cascais, Portugal
Charles Sutton

Registered user since Sun 12 Jun 2016

Name:Charles Sutton
Bio:

Charles Sutton is a Reader (equivalent to Associate Professor: http://bit.ly/1W9UhqT) in Machine Learning at the University of Edinburgh. He is interested in a broad range of applications of probabilistic machine learning, including NLP, analysis of computer systems, software engineering, sustainable energy, and exploratory data analysis. His work in software engineering has won an ACM Distinguished Paper Award. His PhD is from the University of Massachusetts Amherst, and he has done postdoctoral work at the University of California Berkeley. He is currently Director of the EPSRC Centre for Doctoral Training in Data Science at the University of Edinburgh, and a Faculty Fellow of the Alan Turing Institute.

Country:United Kingdom
Affiliation:University of Edinburgh
Research interests:Machine learning, software engineering, programming languages

Contributions

POPL 2019 Probabilistic Programming with Densities in SlicStan: Efficient, Flexible and Deterministic
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