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 
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
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
The Gaussian Process Density Sampler. Adams, RP, Murray I, MacKay DJC.  Advances in Neural Information Processing Systems 21. 2009.   { 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
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 }
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 }
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 }
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 }
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 }
Trick or Treat: Putting Peer Prediction to the Test. Gao, XA, Mao A, Chen Y, Adams RP.  Fifteenth ACM Conference on Economics and Computation (EC). 2014.   { PDF | 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 }