Ryan P. Adams

81 papers and 6.3k indexed citations i.

Ryan P. Adams has authored 81 papers that have received a total of 6.3k indexed citations. This includes 42 papers in Artificial Intelligence, 11 papers in Computational Theory and Mathematics and 10 papers in Statistics and Probability. The topics of these papers are Gaussian Processes and Bayesian Inference (27 papers), Bayesian Methods and Mixture Models (12 papers) and Machine Learning and Algorithms (10 papers). Ryan P. Adams is often cited by papers focused on Gaussian Processes and Bayesian Inference (27 papers), Bayesian Methods and Mixture Models (12 papers) and Machine Learning and Algorithms (10 papers) and collaborates with scholars based in United States, Canada and United Kingdom. Ryan P. Adams's co-authors include Jasper Snoek, Iain Murray, David Duvenaud, Matthew Johnson and Kevin Swersky and has published in prestigious journals such as Nature, Journal of the American Chemical Society and Nature Genetics