Srikrishna Sridhar
About
Srikrishna Sridhar has authored 6 papers that have received a total of 199 indexed citations.
This includes 3 papers in Artificial Intelligence, 2 papers in Computational Mechanics and 2 papers in Computational Theory and Mathematics. The topics of these papers are Combinatorial Optimization and Complexity Theory (2 papers), Sparse and Compressive Sensing Techniques (2 papers) and Stochastic Gradient Optimization Techniques (2 papers). Srikrishna Sridhar is often cited by papers focused on Combinatorial Optimization and Complexity Theory (2 papers), Sparse and Compressive Sensing Techniques (2 papers) and Stochastic Gradient Optimization Techniques (2 papers) and collaborates with scholars based in United States. Srikrishna Sridhar's co-authors include Victor Bittorf, Christopher Ré, Stephen J. Wright, Jeff Linderoth and Ji Liu and has published in prestigious journals such as Journal of Machine Learning Research, Journal of the American Medical Informatics Association and Journal of Global Optimization.
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