Daniel M. Roy

45 papers and 631 indexed citations i.

Daniel M. Roy has authored 45 papers that have received a total of 631 indexed citations. This includes 36 papers in Artificial Intelligence, 13 papers in Statistics and Probability and 9 papers in Computational Theory and Mathematics. The topics of these papers are Bayesian Methods and Mixture Models (8 papers), Gaussian Processes and Bayesian Inference (8 papers) and Machine Learning and Algorithms (7 papers). Daniel M. Roy is often cited by papers focused on Bayesian Methods and Mixture Models (8 papers), Gaussian Processes and Bayesian Inference (8 papers) and Machine Learning and Algorithms (7 papers) and collaborates with scholars based in Canada, United States and United Kingdom. Daniel M. Roy's co-authors include Yee Whye Teh, Gintare Karolina Dziugaite, Cameron E. Freer, Balaji Lakshminarayanan and Joshua B. Tenenbaum and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Biometrika and The Annals of Statistics.