James Bergstra is a postdoctoral researcher at the University of Waterloo
working in the Centre for Theoretical Neuroscience under Chris Eliasmith. His
research has focused by turns on visual system models and learning algorithms,
hyperparameter optimization, high performance computing, and music
information retrieval. He moved to the University of Waterloo from Harvard
University where he worked for a year in David Cox's Computer and Biological
Vision lab. He completed doctoral studies at the University of Montreal in
July 2011 under the direction of Professor Yoshua Bengio with a dissertation
on how to incorporate complex cells into deep learning models. In the course
of his graduate work he co-developed Theano, an open source optimizing
compiler that can make use of Graphics Processing Units (GPUs) for
high-performance computation. He completed a Masters in 2006 under the
direction of Douglas Eck on algorithms for classifying recorded music by
genre.
Publications
Journal Articles
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James Bergstra,
Brent Komer,
Chris Eliasmith,
Dan Yamins,
David D Cox
(2015)
Hyperopt: a Python library for model selection and hyperparameter optimization.
Computational Science & Discovery, 8(1):014008.
Abstract
External link
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Trevor Bekolay,
James Bergstra,
Eric Hunsberger,
Travis DeWolf,
Terrence C Stewart,
Daniel Rasmussen,
Xuan Choo,
Aaron R. Voelker,
Chris Eliasmith
(2014)
Nengo: A Python tool for building large-scale functional brain models.
Frontiers in Neuroinformatics.
Abstract
PDF
DOI
External link
Conference and Workshop Papers
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Brent Komer,
James Bergstra,
Chris Eliasmith
(2014)
Hyperopt-Sklearn: Automatic Hyperparameter Configuration for Scikit-Learn.
In ICML 2014 AutoML Workshop, 8.
Abstract
PDF
Poster
External link
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James Bergstra,
Brent Komer,
Chris Eliasmith,
David Warde-Farley
(2014)
Preliminary Evaluation of Hyperopt Algorithms on HPOLib.
In ICML 2014 AutoML Workshop, 7.
Abstract
PDF
Poster
External link
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Brent Komer,
James Bergstra,
Chris Eliasmith
(2014)
Hyperopt-Sklearn: Automatic Hyperparameter Configuration for Scikit-Learn.
In Proceedings of the 13th Python in Science Conference, 33-39.
Abstract
PDF
Poster
External link
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Eric Hunsberger,
Peter Blouw,
James Bergstra,
Chris Eliasmith
(2013)
A Neural Model of Human Image Categorization.
In 35th Annual Conference of the Cognitive Science Society, 633–638. Cognitive Science Society.
Abstract
PDF