Zeyuan Allen-Zhu
About
Zeyuan Allen-Zhu has authored 36 papers that have received a total of 675 indexed citations.
This includes 30 papers in Artificial Intelligence, 21 papers in Computational Mechanics and 8 papers in Management Science and Operations Research. The topics of these papers are Stochastic Gradient Optimization Techniques (23 papers), Sparse and Compressive Sensing Techniques (21 papers) and Machine Learning and Algorithms (11 papers). Zeyuan Allen-Zhu is often cited by papers focused on Stochastic Gradient Optimization Techniques (23 papers), Sparse and Compressive Sensing Techniques (21 papers) and Machine Learning and Algorithms (11 papers) and collaborates with scholars based in United States, United Kingdom and Canada. Zeyuan Allen-Zhu's co-authors include Yuanzhi Li, Elad Hazan, Yuan Yang, Lorenzo Orecchia and Rati Gelashvili and has published in prestigious journals such as Proceedings of the National Academy of Sciences, IEEE Transactions on Information Theory and Mathematical Programming
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