Yin Tat Lee
About
Yin Tat Lee has authored 49 papers that have received a total of 846 indexed citations.
This includes 27 papers in Artificial Intelligence, 27 papers in Computational Theory and Mathematics and 15 papers in Computational Mechanics. The topics of these papers are Combinatorial Optimization and Complexity Theory (19 papers), Stochastic Gradient Optimization Techniques (15 papers) and Sparse and Compressive Sensing Techniques (14 papers). Yin Tat Lee is often cited by papers focused on Combinatorial Optimization and Complexity Theory (19 papers), Stochastic Gradient Optimization Techniques (15 papers) and Sparse and Compressive Sensing Techniques (14 papers) and collaborates with scholars based in United States, United Kingdom and Hong Kong. Yin Tat Lee's co-authors include Aaron Sidford, Sébastien Bubeck, Zhao Song, Santosh Vempala and Aaron Sidford and has published in prestigious journals such as Annals of Mathematics, Journal of the ACM and Mathematical Programming
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