Filters: Author is Ryan P. Adams  [Clear All Filters]
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
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 }
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 }
Archipelago: Nonparametric Bayesian Semi-Supervised Learning. Adams, RP, Ghahramani Z.  Proceedings of the 26th International Conference on Machine Learning. 2009.   { PDF | Google Scholar | BibTex } Honourable Mention for Best Paper
ASC: Automatically Scalable Computation. Waterland, A, Angelino E, Adams RP, Appavoo J, Seltzer M.  Nineteenth International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS). 575-590. 2014.   { PDF | Google Scholar | BibTex }
Avoiding Pathologies in Very Deep Networks. Duvenaud, D, Rippel O, Adams RP, Ghahramani Z.  Seventeenth International Conference on Artificial Intelligence and Statistics (AISTATS). 2014.   { arXiv:1402.5836 [stat.ML] | PDF | Code | Google Scholar | BibTex }
Bayesian Optimization with Unknown Constraints. Gelbart, MA, Snoek J, Adams RP.  Thirtieth Conference on Uncertainty in Artificial Intelligence (UAI). 2014.   { arXiv:1403.5607 [stat.ML] | PDF | Code | Google Scholar | BibTex }
Bootstrap Learning Via Modular Concept Discovery. Dechter, E, Malmaud J, Adams RP, Tenenbaum JB.  23rd International Joint Conference on Artificial Intelligence. 2013.   { PDF | Google Scholar | BibTex }
Computational Caches. Waterland, A, Angelino E, Cubuk ED, Kaxiras E, Adams RP, Appavoo J, Seltzer M.  International Systems and Storage Conference (SYSTOR). 2013.   { PDF | Google Scholar | BibTex }
Contrastive Learning Using Spectral Methods. Zou, J, Hsu D, Parkes D, Adams RP.  Advances in Neural Information Processing Systems 26. 2013.   { PDF | Google Scholar | BibTex }