Lev Reyzin

20 papers and 120 indexed citations i.

Lev Reyzin has authored 20 papers that have received a total of 120 indexed citations. This includes 14 papers in Artificial Intelligence, 10 papers in Computational Theory and Mathematics and 6 papers in Computer Networks and Communications. The topics of these papers are Machine Learning and Algorithms (12 papers), Combinatorial Optimization and Complexity Theory (7 papers) and Machine Learning and Data Classification (6 papers). Lev Reyzin is often cited by papers focused on Machine Learning and Algorithms (12 papers), Combinatorial Optimization and Complexity Theory (7 papers) and Machine Learning and Data Classification (6 papers) and collaborates with scholars based in United States. Lev Reyzin's co-authors include Dana Angluin, James Aspnes, Alexander Gutfraind, Ying Xiao and Yi Huang and has published in prestigious journals such as Nature, Journal of the ACM and Machine Learning