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 }
The Gaussian Process Density Sampler. Adams, RP, Murray I, MacKay DJC.  Advances in Neural Information Processing Systems 21. 2009.   { 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
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
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
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 }
On Nonparametric Guidance for Learning Autoencoder Representations. Snoek, J, Adams RP, Larochelle H.  Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS). 2012.   { arXiv:1102.1492v4 [stat.ML] | PDF | Code | Google Scholar | BibTex }
Randomized Optimum Models for Structured Prediction. Tarlow, D, Adams RP, Zemel RS.  Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS). 2012.   { PDF | Google Scholar | BibTex }
Revisiting Uncertainty in Graph Cut Solutions. Tarlow, D, Adams RP.  IEEE Conference on Computer Vision and Pattern Recognition (CVPR). 2012.   { 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 }
Discovering Shared Cardiovascular Dynamics within a Patient Cohort. Nemati, S, Lehman L-wei, Adams RP, Malhotra A.  International Conference of the IEEE Engineering in Medicine and Biology Society. 2012.   { PDF | Google Scholar | BibTex }
Discovering Shared Dynamics in Physiological Signals: Application to Patient Monitoring in ICU. Lehman, L-wei, Nemati S, Adams RP, Mark R.  International Conference of the IEEE Engineering in Medicine and Biology Society. 2012.   { PDF | Google Scholar | BibTex }
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 }