David Kristjanson Duvenaud

E-mail:

My interests lie in the fields of machine learning, Bayesian statistics, and neuroscience. My advisors at Cambridge are Carl Rasmussen and Zoubin Ghahramani. My previous advisor was Kevin Murphy at the University of British Columbia.

I spent the last two summers at Google Research, in the Video Content Analysis group.

I'm currently visiting the Max Planck Institute for Biological Cybernetics, in the Empirical Inference group.

Curriculum Vitae

Publications

	Optimally-Weighted Herding is Bayesian Quadrature Ferenc Huszár and David Duvenaud Under Review pdf | code | slides | bibtex
	Additive Gaussian Processes David Duvenaud, Hannes Nickisch, Carl Rasmussen Neural Information Processing Systems, 2011 pdf | code | poster | bibtex
	Multiscale Conditional Random Fields for Semi-supervised Labeling and Classification David Duvenaud, Benjamin Marlin, Kevin Murphy Canadian Conference on Computer and Robot Vision, 2011 pdf | code | slides | bibtex
	Causal Learning without DAGs David Duvenaud, Daniel Eaton, Kevin Murphy, Mark Schmidt Journal of Machine Learning Research, W&CP, 2010 pdf | code | poster | bibtex

Other

	I won a biological prediction contest, the DREAM4 Predictive Signaling Network Modeling Challenge, using a very simple model inspired by our causal learning paper: a Gaussian process regression from actions to protein concentrations. writeup
	M.Sc. Thesis: Multiscale Conditional Random Fields for Machine Vision. University of British Columbia, 2010 pdf | code | bibtex