Filters: Author is David J.C. MacKay  [Clear All Filters]
The Gaussian Process Density Sampler. Adams, RP, Murray I, MacKay DJC.  Advances in Neural Information Processing Systems 21. 2009.   { PDF | Google Scholar | BibTex }
Tractable Nonparametric Bayesian Inference in Poisson Processes with Gaussian Process Intensities. Adams, RP, Murray I, MacKay DJC.  Proceedings of the 26th International Conference on Machine Learning. 2009.   { PDF | Code | Google Scholar | BibTex } Honorable Mention for Best Student Paper
Elliptical Slice Sampling. Murray, I, Adams RP, MacKay DJC.  Journal of Machine Learning Research: Workshop and Conference Proceedings (AISTATS). 9:541-548. 2010.   { arXiv:1001.0175 [stat.CO] | PDF | Code | Google Scholar | BibTex }
Kernel Methods for Nonparametric Bayesian Inference of Probability Densities and Point Processes. Adams, RP.  Department of Physics. Ph.D.:157. 2009.   { PDF | Google Scholar | BibTex } Honorable Mention for International Society for Bayesian Analysis Savage Award in Theory and Methods