Bobak Shahriari

5 papers and 2.6k indexed citations i.

Bobak Shahriari has authored 5 papers that have received a total of 2.6k indexed citations. This includes 4 papers in Artificial Intelligence, 3 papers in Computational Theory and Mathematics and 3 papers in Management Science and Operations Research. The topics of these papers are Advanced Bandit Algorithms Research (3 papers), Machine Learning and Data Classification (2 papers) and Gaussian Processes and Bayesian Inference (2 papers). Bobak Shahriari is often cited by papers focused on Advanced Bandit Algorithms Research (3 papers), Machine Learning and Data Classification (2 papers) and Gaussian Processes and Bayesian Inference (2 papers) and collaborates with scholars based in United States, Canada and United Kingdom. Bobak Shahriari's co-authors include Nando de Freitas, Ryan P. Adams, Josh Merel, Scott Reed and Konrad Żołna and has published in prestigious journals such as Proceedings of the IEEE and Computers & Mathematics with Applications.