James Bergstra
First author of the Hyperopt paper and co-developer of Theano; former Research Scholar at Harvard
James Bergstra co-developed Theano, an open-source optimizing compiler that can use GPUs, and is first author of "Hyperopt: a Python library for model selection and hyperparameter optimization" (2015); the Hyperopt project's BSD-style license names Bergstra as copyright holder. A 2012 University of British Columbia talk listing described Bergstra as a Research Scholar at Harvard University in David Cox's biological and computer vision group at the Rowland Institute, with research including hyperparameter optimization. Bergstra was then a postdoc at the University of Waterloo's Centre for Theoretical Neuroscience and a co-author of the paper "Nengo: A Python tool for building large-scale functional brain models" (2014).1235
Work
Hyperopt (external site: github.com)Open-source code
First author of "Hyperopt: a Python library for model selection and hyperparameter optimization" (2015), as listed on the University of Waterloo profile; the project's BSD-style license names James Bergstra as copyright holder.25
Theano (external site: github.com)Open-source code
Co-developed Theano, according to the University of Waterloo profile, and co-author of "Theano: new features and speed improvements" (2012).234
Other documented roles
Roles the sources document but that are not confirmed as current.
- Research Scholar, David Cox's biological and computer vision group at the Rowland Institute, Harvard University12
- Postdoc, Centre for Theoretical Neuroscience, University of Waterloo2
This profile covers public professional work only, from the sources below. It is not an endorsement or a ranking. To correct or remove it, use the correction form.