Filters: Author is Ryan P. Adams  [Clear All Filters]
Training Restricted Boltzmann Machines on Word Observations. Dahl, GE, Adams RP, Larochelle H.  Proceedings of the 29th International Conference on Machine Learning. 2012.   { arXiv:1202.5695 [cs.LG] | PDF | Google Scholar | BibTex }
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 }
Learning the Structure of Deep Sparse Graphical Models. Adams, RP, Wallach HM, Ghahramani Z.  Journal of Machine Learning Research: Workshop and Conference Proceedings (AISTATS). 9:1-8. 2010.   { arXiv:1001.0160 [stat.ML] | PDF | Google Scholar | BibTex } Winner of Best Paper Award
Parallel MCMC with Generalized Elliptical Slice Sampling. Nishihara, R, Murray I, Adams RP.  Journal of Machine Learning Research (JMLR). 2014.   { PDF | 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