Leslie G. Valiant
About
Leslie G. Valiant has authored 67 papers that have received a total of 9.9k indexed citations.
This includes 37 papers in Artificial Intelligence, 36 papers in Computational Theory and Mathematics and 11 papers in Computer Networks and Communications. The topics of these papers are Machine Learning and Algorithms (16 papers), Combinatorial Optimization and Complexity Theory (15 papers) and Computability, Logic, AI Algorithms (13 papers). Leslie G. Valiant is often cited by papers focused on Machine Learning and Algorithms (16 papers), Combinatorial Optimization and Complexity Theory (15 papers) and Computability, Logic, AI Algorithms (13 papers) and collaborates with scholars based in United States, United Kingdom and France. Leslie G. Valiant's co-authors include Michael Kearns, Vijay V. Vazirani, Leonard Pitt, Mark Jerrum and David Haussler and has published in prestigious journals such as Communications of the ACM, Current Opinion in Neurobiology and Artificial Intelligence
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