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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 }
Tracking Progression of Patient State of Health in Critical Care Using Inferred Shared Dynamics in Physiological Time Series. Lehman, L-wei, Nemati S, Adams RP, Moody G, Malhotra A, Mark R.  Proceedings of the 35th International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). 2013.   { PDF | Google Scholar | BibTex }
Slice Sampling Covariance Hyperparameters in Latent Gaussian Models. Murray, I, Adams RP.  Advances in Neural Information Processing Systems 23. 1723-1731. 2010.   { arXiv:1006.0868 [stat.CO] | PDF | Code | 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 }
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
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
The Gaussian Process Density Sampler. Adams, RP, Murray I, MacKay DJC.  Advances in Neural Information Processing Systems 21. 2009.   { 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 }