Chi Jin
About
Chi Jin has authored 33 papers that have received a total of 756 indexed citations.
This includes 22 papers in Artificial Intelligence, 8 papers in Computational Mechanics and 7 papers in Management Science and Operations Research. The topics of these papers are Stochastic Gradient Optimization Techniques (9 papers), Sparse and Compressive Sensing Techniques (8 papers) and Reinforcement Learning in Robotics (8 papers). Chi Jin is often cited by papers focused on Stochastic Gradient Optimization Techniques (9 papers), Sparse and Compressive Sensing Techniques (8 papers) and Reinforcement Learning in Robotics (8 papers) and collaborates with scholars based in United States, China and United Kingdom. Chi Jin's co-authors include Michael I. Jordan, Praneeth Netrapalli, Sham M. Kakade, Rong Ge and Zhuoran Yang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Chemical Physics and Nature Communications
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