Christopher Musco
About
Christopher Musco has authored 29 papers that have received a total of 441 indexed citations.
This includes 15 papers in Artificial Intelligence, 11 papers in Computational Mechanics and 9 papers in Computational Theory and Mathematics. The topics of these papers are Sparse and Compressive Sensing Techniques (10 papers), Stochastic Gradient Optimization Techniques (10 papers) and Matrix Theory and Algorithms (5 papers). Christopher Musco is often cited by papers focused on Sparse and Compressive Sensing Techniques (10 papers), Stochastic Gradient Optimization Techniques (10 papers) and Matrix Theory and Algorithms (5 papers) and collaborates with scholars based in United States, Israel and Switzerland. Christopher Musco's co-authors include Cameron Musco, Michael Kapralov, Michael B. Cohen, Ameya Velingker and Haim Avron and has published in prestigious journals such as Proceedings of the VLDB Endowment, Computer Graphics Forum and SIAM Journal on Matrix Analysis and Applications
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