Filters: Author is Ryan P. Adams  [Clear All Filters]
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 }
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 }
Learning Ordered Representations with Nested Dropout. Rippel, O, Gelbart MA, Adams RP.  Thirty-First International Conference on Machine Learning (ICML). 2014.   { arXiv:1402.0915 [stat.ML] | PDF | Google Scholar | BibTex }
Learning Outcome-Discriminative Dynamics in Multivariate Physiological Cohort Time Series. Nemati, S, Lehman L-wei, Adams RP.  Proceedings of the 35th International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) . 2013.   { PDF | Google Scholar | BibTex }
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 }
Message Passing Inference with Chemical Reaction Networks. Napp, N, Adams RP.  Advances in Neural Information Processing Systems 26. 2013.   { PDF | Google Scholar | BibTex }
Multi-Task Bayesian Optimization. Swersky, K, Snoek J, Adams RP.  Advances in Neural Information Processing Systems 26. 2013.   { 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 }
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 }
Revisiting Uncertainty in Graph Cut Solutions. Tarlow, D, Adams RP.  IEEE Conference on Computer Vision and Pattern Recognition (CVPR). 2012.   { 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 }
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 }
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