 | 2012 |
| 12 |  | James Bergstra,
Yoshua Bengio:
Random Search for Hyper-Parameter Optimization.
Journal of Machine Learning Research 13: 281-305 (2012) |
| 2011 |
| 11 |  | Aaron C. Courville,
James Bergstra,
Yoshua Bengio:
Unsupervised Models of Images by Spikeand-Slab RBMs.
ICML 2011: 1145-1152 |
| 10 |  | James Bergstra,
Rémi Bardenet,
Yoshua Bengio,
Balázs Kégl:
Algorithms for Hyper-Parameter Optimization.
NIPS 2011: 2546-2554 |
| 9 |  | James Bergstra,
Aaron C. Courville,
Yoshua Bengio:
The Statistical Inefficiency of Sparse Coding for Images (or, One Gabor to Rule them All)
CoRR abs/1109.6638: (2011) |
| 8 |  | Aaron C. Courville,
James Bergstra,
Yoshua Bengio:
A Spike and Slab Restricted Boltzmann Machine.
Journal of Machine Learning Research - Proceedings Track 15: 233-241 (2011) |
| 7 |  | James Bergstra,
Yoshua Bengio,
Jérôme Louradour:
Suitability of V1 Energy Models for Object Classification.
Neural Computation 23(3): 774-790 (2011) |
| 2010 |
| 6 |  | James Bergstra,
Michael I. Mandel,
Douglas Eck:
Scalable Genre and Tag Prediction with Spectral Covariance.
ISMIR 2010: 507-512 |
| 2009 |
| 5 |  | Joseph P. Turian,
James Bergstra,
Yoshua Bengio:
Quadratic Features and Deep Architectures for Chunking.
HLT-NAACL (Short Papers) 2009: 245-248 |
| 4 |  | James Bergstra,
Yoshua Bengio:
Slow, Decorrelated Features for Pretraining Complex Cell-like Networks.
NIPS 2009: 99-107 |
| 2007 |
| 3 |  | Hugo Larochelle,
Dumitru Erhan,
Aaron C. Courville,
James Bergstra,
Yoshua Bengio:
An empirical evaluation of deep architectures on problems with many factors of variation.
ICML 2007: 473-480 |
| 2006 |
| 2 |  | James Bergstra,
Alexandre Lacoste,
Douglas Eck:
Predicting genre labels for artist using FreeDB.
ISMIR 2006: 85-88 |
| 1 |  | James Bergstra,
Norman Casagrande,
Dumitru Erhan,
Douglas Eck,
Balázs Kégl:
Aggregate features and ADABOOSTfor music classification.
Machine Learning 65(2-3): 473-484 (2006) |