Yuanzhi Li
About
Yuanzhi Li has authored 43 papers that have received a total of 745 indexed citations.
This includes 30 papers in Artificial Intelligence, 10 papers in Computational Mechanics and 8 papers in Computational Theory and Mathematics. The topics of these papers are Stochastic Gradient Optimization Techniques (14 papers), Sparse and Compressive Sensing Techniques (10 papers) and Neural Networks and Applications (10 papers). Yuanzhi Li is often cited by papers focused on Stochastic Gradient Optimization Techniques (14 papers), Sparse and Compressive Sensing Techniques (10 papers) and Neural Networks and Applications (10 papers) and collaborates with scholars based in United States, China and United Kingdom. Yuanzhi Li's co-authors include Zeyuan Allen-Zhu, Yingyu Liang, Sébastien Bubeck, Yining Wang and Andrej Risteski and has published in prestigious journals such as Journal of Financial Economics, Management Science and Review of Financial Studies
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