Victor Bittorf
About
Victor Bittorf has authored 5 papers that have received a total of 281 indexed citations.
This includes 5 papers in Artificial Intelligence, 3 papers in Computational Theory and Mathematics and 2 papers in Computational Mechanics. The topics of these papers are Sparse and Compressive Sensing Techniques (2 papers), Stochastic Gradient Optimization Techniques (2 papers) and Combinatorial Optimization and Complexity Theory (2 papers). Victor Bittorf is often cited by papers focused on Sparse and Compressive Sensing Techniques (2 papers), Stochastic Gradient Optimization Techniques (2 papers) and Combinatorial Optimization and Complexity Theory (2 papers) and collaborates with scholars based in United States. Victor Bittorf's co-authors include Christopher Ré, Srikrishna Sridhar, Stephen J. Wright, Ji Liu and Matthew Burgess and has published in prestigious journals such as Journal of Machine Learning Research
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