Cameron Musco
About
Cameron Musco has authored 30 papers that have received a total of 412 indexed citations.
This includes 22 papers in Artificial Intelligence, 16 papers in Computational Mechanics and 9 papers in Computational Theory and Mathematics. The topics of these papers are Sparse and Compressive Sensing Techniques (15 papers), Stochastic Gradient Optimization Techniques (13 papers) and Complex Network Analysis Techniques (6 papers). Cameron Musco is often cited by papers focused on Sparse and Compressive Sensing Techniques (15 papers), Stochastic Gradient Optimization Techniques (13 papers) and Complex Network Analysis Techniques (6 papers) and collaborates with scholars based in United States, Israel and Switzerland. Cameron Musco's co-authors include Christopher Musco, Michael B. Cohen, Michael Kapralov, David P. Woodruff and Charalampos E. Tsourakakis and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SIAM Journal on Matrix Analysis and Applications and Theory of Computing
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