Santosh Vempala

124 papers and 3.3k indexed citations i.

Santosh Vempala has authored 124 papers that have received a total of 3.3k indexed citations. This includes 53 papers in Artificial Intelligence, 49 papers in Computational Theory and Mathematics and 31 papers in Statistics and Probability. The topics of these papers are Combinatorial Optimization and Complexity Theory (32 papers), Markov Chains and Monte Carlo Methods (27 papers) and Machine Learning and Algorithms (26 papers). Santosh Vempala is often cited by papers focused on Combinatorial Optimization and Complexity Theory (32 papers), Markov Chains and Monte Carlo Methods (27 papers) and Machine Learning and Algorithms (26 papers) and collaborates with scholars based in United States, United Kingdom and Canada. Santosh Vempala's co-authors include Avrim Blum, Adrian Vetta, Yin Tat Lee, Luis Rademacher and Prasad Tetali and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Communications of the ACM and Operations Research.