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Ryan Prescott Adams Home Page Coauthor index pubzone.org

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DBLP keys2012
14Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLGeorge E. Dahl, Ryan Prescott Adams, Hugo Larochelle: Training Restricted Boltzmann Machines on Word Observations CoRR abs/1202.5695: (2012)
13Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLJasper Snoek, Ryan Prescott Adams, Hugo Larochelle: On Nonparametric Guidance for Learning Autoencoder Representations. Journal of Machine Learning Research - Proceedings Track 22: 1073-1080 (2012)
12Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLDaniel Tarlow, Ryan Prescott Adams, Richard S. Zemel: Randomized Optimum Models for Structured Prediction. Journal of Machine Learning Research - Proceedings Track 22: 1221-1229 (2012)
2011
11Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLRyan Prescott Adams, Richard S. Zemel: Ranking via Sinkhorn Propagation CoRR abs/1106.1925: (2011)
2010
10Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLIain Murray, Ryan Prescott Adams: Slice sampling covariance hyperparameters of latent Gaussian models. NIPS 2010: 1732-1740
9Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLRyan Prescott Adams, Zoubin Ghahramani, Michael I. Jordan: Tree-Structured Stick Breaking for Hierarchical Data. NIPS 2010: 19-27
8Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLRyan Prescott Adams, George E. Dahl, Iain Murray: Incorporating Side Information in Probabilistic Matrix Factorization with Gaussian Processes. UAI 2010: 1-9
7Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLRyan Prescott Adams, George E. Dahl, Iain Murray: Incorporating Side Information in Probabilistic Matrix Factorization with Gaussian Processes CoRR abs/1003.4944: (2010)
6Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLRyan Prescott Adams, Hanna M. Wallach, Zoubin Ghahramani: Learning the Structure of Deep Sparse Graphical Models. Journal of Machine Learning Research - Proceedings Track 9: 1-8 (2010)
5Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLIain Murray, Ryan Prescott Adams, David J. C. MacKay: Elliptical slice sampling. Journal of Machine Learning Research - Proceedings Track 9: 541-548 (2010)
2009
4Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLRyan Prescott Adams, Zoubin Ghahramani: Archipelago: nonparametric Bayesian semi-supervised learning. ICML 2009: 1
3Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLRyan Prescott Adams, Iain Murray, David J. C. MacKay: Tractable nonparametric Bayesian inference in Poisson processes with Gaussian process intensities. ICML 2009: 2
2008
2Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLRyan Prescott Adams, Oliver Stegle: Gaussian process product models for nonparametric nonstationarity. ICML 2008: 1-8
1Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLRyan Prescott Adams, Iain Murray, David J. C. MacKay: The Gaussian Process Density Sampler. NIPS 2008: 9-16

Coauthor Index

1George E. Dahl [7] [8] [14]
2Zoubin Ghahramani [4] [6] [9]
3Michael I. Jordan [9]
4Hugo Larochelle [13] [14]
5David J. C. MacKay [1] [3] [5]
6Iain Murray [1] [3] [5] [7] [8] [10]
7Jasper Snoek [13]
8Oliver Stegle [2]
9Daniel Tarlow [12]
10Hanna M. Wallach [6]
11Richard S. Zemel [11] [12]

Last update Sat May 26 04:23:17 2012 CET by the DBLP TeamThis material is Open Data Data released under the ODC-BY 1.0 license — See also our legal information page