Filters: Author is Ryan P. Adams  [Clear All Filters]
Computational Caches. Waterland, A, Angelino E, Cubuk ED, Kaxiras E, Adams RP, Appavoo J, Seltzer M.  International Systems and Storage Conference (SYSTOR). 2013.   { PDF | Google Scholar | BibTex }
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 }
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 }
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 }
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 }
Contrastive Learning Using Spectral Methods. Zou, J, Hsu D, Parkes D, Adams RP.  Advances in Neural Information Processing Systems 26. 2013.   { 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 }
Parallel MCMC with Generalized Elliptical Slice Sampling. Nishihara, R, Murray I, Adams RP.  Journal of Machine Learning Research (JMLR). 2014.   { PDF | Google Scholar | BibTex }
ASC: Automatically Scalable Computation. Waterland, A, Angelino E, Adams RP, Appavoo J, Seltzer M.  Nineteenth International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS). 575-590. 2014.   { 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 }
Discovering Latent Network Structure in Point Process Data. Linderman, SW, Adams RP.  Thirty-First International Conference on Machine Learning (ICML). 2014.   { arXiv:1402.0914 [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 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 }
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 }
Firefly Monte Carlo: Exact MCMC with Subsets of Data. Maclaurin, D, Adams RP.  Thirtieth Conference on Uncertainty in Artificial Intelligence (UAI). 2014.   { arXiv:1403.5693 [stat.ML] | PDF | Google Scholar | BibTex } Winner of Best Paper Award