James Bergstra

According to our database1, James Bergstra authored at least 28 papers between 2006 and 2018.

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Bibliography

2018
Benchmarking Reinforcement Learning Algorithms on Real-World Robots.
CoRR, 2018

Setting up a Reinforcement Learning Task with a Real-World Robot.
CoRR, 2018

Benchmarking Reinforcement Learning Algorithms on Real-World Robots.
Proceedings of the 2nd Annual Conference on Robot Learning, 2018

2016
Theano: A Python framework for fast computation of mathematical expressions.
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CoRR, 2016

2015
Challenges in representation learning: A report on three machine learning contests.
Neural Networks, 2015

2014
The Spike-and-Slab RBM and Extensions to Discrete and Sparse Data Distributions.
IEEE Trans. Pattern Anal. Mach. Intell., 2014

Nengo: a Python tool for building large-scale functional brain models.
Front. Neuroinform., 2014

2013
Pylearn2: a machine learning research library.
CoRR, 2013

Challenges in Representation Learning: A report on three machine learning contests.
CoRR, 2013

Hyperparameter Optimization and Boosting for Classifying Facial Expressions: How good can a "Null" Model be?
CoRR, 2013


Making a Science of Model Search: Hyperparameter Optimization in Hundreds of Dimensions for Vision Architectures.
Proceedings of the 30th International Conference on Machine Learning, 2013

A Neural Model of Human Image Categorization.
Proceedings of the 35th Annual Meeting of the Cognitive Science Society, 2013

2012
Unsupervised and Transfer Learning Challenge: a Deep Learning Approach.
Proceedings of the Unsupervised and Transfer Learning, 2012

Random Search for Hyper-Parameter Optimization.
Journal of Machine Learning Research, 2012

Theano: new features and speed improvements
CoRR, 2012

Making a Science of Model Search
CoRR, 2012

2011
Suitability of V1 Energy Models for Object Classification.
Neural Computation, 2011

A Spike and Slab Restricted Boltzmann Machine.
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, 2011

The Statistical Inefficiency of Sparse Coding for Images (or, One Gabor to Rule them All)
CoRR, 2011

Algorithms for Hyper-Parameter Optimization.
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

Unsupervised Models of Images by Spikeand-Slab RBMs.
Proceedings of the 28th International Conference on Machine Learning, 2011

2010
Scalable Genre and Tag Prediction with Spectral Covariance.
Proceedings of the 11th International Society for Music Information Retrieval Conference, 2010

2009
Slow, Decorrelated Features for Pretraining Complex Cell-like Networks.
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

Quadratic Features and Deep Architectures for Chunking.
Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, Proceedings, May 31, 2009

2007
An empirical evaluation of deep architectures on problems with many factors of variation.
Proceedings of the Machine Learning, 2007

2006
Aggregate features and ADABOOSTfor music classification.
Machine Learning, 2006

Predicting genre labels for artist using FreeDB.
Proceedings of the ISMIR 2006, 2006


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