PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

EPrints submitted by Ryan Adams

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Number of EPrints submitted by this user: 6

Gaussian Process Product Models for Nonparametric Nonstationarity
Ryan Adams and Oliver Stegle
Proceedings of the 25th Annual International Conference on Machine Learning (ICML 2008) pp. 1-8, 2008.

The Gaussian Process Density Sampler
Ryan Adams, Iain Murray and David MacKay
Advances in Neural Information Processing Systems 21 (NIPS 2008) 2009.

The Gaussian Process Density Sampler
Ryan Adams, Iain Murray and David MacKay
In: The Learning Workshop, 1-4 April 2008, Snowbird, Utah.

Archipelago: Nonparametric Bayesian Semi-Supervised Learning
Ryan Adams and Zoubin Ghahramani
Proceedings of the 26th Annual International Conference on Machine Learning pp. 1-8, 2009.

Tractable Nonparametric Bayesian Inference in Poisson Processes with Gaussian Process Intensities
Ryan Adams, Iain Murray and David MacKay
Proceedings of the 26th Annual International Conference on Machine Learning pp. 9-16, 2009.

Tree-Structured Stick Breaking Processes for Hierarchical Modeling
Ryan Adams, Zoubin Ghahramani and Michael Jordan
In: Nonparametric Bayes Workshop at NIPS 2009, 12 Dec 2009, Whistler, Canada.