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All publications by Jasper Snoek
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Scalable Bayesian Optimization Using Deep Neural Networks
Jasper Snoek, Oren Rippel, Kevin Swersky, Ryan Kiros, Nadathur Satish, Narayanan Sundaram, Mostofa Patwary, Mr Prabhat and Ryan Adams
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Spectral Representations for Convolutional Neural Networks
Oren Rippel, Jasper Snoek and Ryan P. Adams
Advances in Neural Information Processing Systems 28, 2015


Input Warping for Bayesian Optimization of Non-Stationary Functions
Jasper Snoek, Kevin Swersky, Rich Zemel and Ryan Adams
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Multi-Task Bayesian Optimization
Kevin Swersky, Jasper Snoek and Ryan P. Adams
Advances in Neural Information Processing Systems 26, 2013


A Determinantal Point Process Latent Variable Model for Inhibition in Neural Spiking Data
Jasper Snoek, Richard Zemel and Ryan P. Adams
Advances in Neural Information Processing Systems 26, 2013


Practical Bayesian Optimization of Machine Learning Algorithms
Jasper Snoek, Hugo Larochelle and Ryan P. Adams
Advances in Neural Information Processing Systems 25, 2012


On Nonparametric Guidance for Learning Autoencoder Representations
Jasper Snoek, Ryan P. Adams and Hugo Larochelle
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012