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Practical Bayesian Optimization of Machine Learning Algorithms
- Jasper Snoek, H. Larochelle, Ryan P. Adams
- Computer ScienceNIPS
- 13 June 2012
TLDR
Taking the Human Out of the Loop: A Review of Bayesian Optimization
- Bobak Shahriari, Kevin Swersky, Ziyun Wang, Ryan P. Adams, N. D. Freitas
- Computer ScienceProceedings of the IEEE
- 2016
TLDR
Convolutional Networks on Graphs for Learning Molecular Fingerprints
- D. Duvenaud, D. Maclaurin, Ryan P. Adams
- Computer ScienceNIPS
- 30 September 2015
TLDR
Bayesian Online Changepoint Detection
- Ryan P. Adams, D. Mackay
- Computer Science
- 19 October 2007
TLDR
Automatic Chemical Design Using a Data-Driven Continuous Representation of Molecules
- Rafael Gómez-Bombarelli, D. Duvenaud, Alán Aspuru-Guzik
- Computer ScienceACS central science
- 7 October 2016
We report a method to convert discrete representations of molecules to and from a multidimensional continuous representation. This model allows us to generate new molecules for efficient exploration…
Probabilistic Backpropagation for Scalable Learning of Bayesian Neural Networks
- José Miguel Hernández-Lobato, Ryan P. Adams
- Computer ScienceICML
- 18 February 2015
TLDR
Elliptical slice sampling
- Iain Murray, Ryan P. Adams, D. Mackay
- Computer ScienceAISTATS
- 31 December 2009
TLDR
Gradient-based Hyperparameter Optimization through Reversible Learning
- D. Maclaurin, D. Duvenaud, Ryan P. Adams
- Computer ScienceICML
- 11 February 2015
TLDR
Multi-Task Bayesian Optimization
- Kevin Swersky, Jasper Snoek, Ryan P. Adams
- Computer ScienceNIPS
- 5 December 2013
TLDR
Scalable Bayesian Optimization Using Deep Neural Networks
- Jasper Snoek, Oren Rippel, Ryan P. Adams
- Computer ScienceICML
- 19 February 2015
TLDR
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