Samuel B. Hopkins
About
Samuel B. Hopkins has authored 16 papers that have received a total of 224 indexed citations.
This includes 9 papers in Artificial Intelligence, 7 papers in Computational Theory and Mathematics and 6 papers in Computational Mechanics. The topics of these papers are Combinatorial Optimization and Complexity Theory (7 papers), Sparse and Compressive Sensing Techniques (6 papers) and Machine Learning and Algorithms (4 papers). Samuel B. Hopkins is often cited by papers focused on Combinatorial Optimization and Complexity Theory (7 papers), Sparse and Compressive Sensing Techniques (6 papers) and Machine Learning and Algorithms (4 papers) and collaborates with scholars based in United States, Canada and China. Samuel B. Hopkins's co-authors include Tselil Schramm, Aaron Potechin, Pravesh K. Kothari, Prasad Raghavendra and David Steurer and has published in prestigious journals such as Bioinformatics, The Annals of Statistics and SIAM Journal on Computing
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