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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
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
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 }
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 }
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
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 }
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 }
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 }
Priors for Diversity in Generative Latent Variable Models. Zou, JY, Adams RP.  Advances in Neural Information Processing Systems 25. 2012.   { PDF | 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 }