Nathan Halko
About
Nathan Halko has authored 2 papers that have received a total of 2.1k indexed citations.
This includes 2 papers in Artificial Intelligence, 2 papers in Computational Mechanics and 1 paper in Computer Vision and Pattern Recognition. The topics of these papers are Sparse and Compressive Sensing Techniques (2 papers), Stochastic Gradient Optimization Techniques (2 papers) and Tensor decomposition and applications (1 paper). Nathan Halko is often cited by papers focused on Sparse and Compressive Sensing Techniques (2 papers), Stochastic Gradient Optimization Techniques (2 papers) and Tensor decomposition and applications (1 paper) and collaborates with scholars based in United States. Nathan Halko's co-authors include Per‐Gunnar Martinsson, Mark Tygert, Yoel Shkolnisky and Joel A. Tropp and has published in prestigious journals such as SIAM Review and SIAM Journal on Scientific Computing
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