A B C D E F G H I J K L M N O P Q R S T U V W X Y Z 
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
Learning the Parameters of Determinantal Point Process Kernels. Affandi, RH, Fox EB, Adams RP, Taskar B.  Thirty-First International Conference on Machine Learning (ICML). 2014.   { arXiv:1402.4862 [stat.ML] | PDF | Google Scholar | BibTex }
Learning Outcome-Discriminative Dynamics in Multivariate Physiological Cohort Time Series. Nemati, S, Lehman L-wei, Adams RP.  Proceedings of the 35th International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) . 2013.   { PDF | Google Scholar | BibTex }
Learning Ordered Representations with Nested Dropout. Rippel, O, Gelbart MA, Adams RP.  Thirty-First International Conference on Machine Learning (ICML). 2014.   { arXiv:1402.0915 [stat.ML] | 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
Graph-Sparse LDA: A Topic Model with Structured Sparsity. Doshi-Velez, F, Wallace B, Adams RP.  Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence. Submitted.   { arXiv:1410.4510 [stat.ML] | PDF | Google Scholar | BibTex }
Gaussian Process Product Models for Nonparametric Nonstationarity. Adams, RP, Stegle O.  Proceedings of the 25th International Conference on Machine Learning. 1-8. 2008.   { PDF | Google Scholar | BibTex }
Gaussian Process Kernels for Pattern Discovery and Extrapolation. Wilson, AG, Adams RP.  Proceedings of the 30th International Conference on Machine Learning. 2013.   { arXiv:1302.4245 [stat.ML] | PDF | Code | Google Scholar | BibTex }
The Gaussian Process Density Sampler. Adams, RP, Murray I, MacKay DJC.  Advances in Neural Information Processing Systems 21. 2009.   { PDF | Google Scholar | BibTex }
Firefly Monte Carlo: Exact MCMC with Subsets of Data. Maclaurin, D, Adams RP.  Thirtieth Conference on Uncertainty in Artificial Intelligence (UAI). 2014.   { arXiv:1403.5693 [stat.ML] | PDF | Google Scholar | BibTex } Winner of Best Paper Award
Fast Exact Inference for Recursive Cardinality Models. Tarlow, D, Swersky K, Zemel RS, Adams RP, Frey B.  28th Conference on Uncertainty in Artificial Intelligence (UAI). 2012.   { 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 }