Garvesh Raskutti
About
Garvesh Raskutti has authored 41 papers that have received a total of 1.6k indexed citations.
This includes 21 papers in Statistics and Probability, 15 papers in Artificial Intelligence and 12 papers in Computational Mechanics. The topics of these papers are Statistical Methods and Inference (20 papers), Sparse and Compressive Sensing Techniques (12 papers) and Bayesian Modeling and Causal Inference (6 papers). Garvesh Raskutti is often cited by papers focused on Statistical Methods and Inference (20 papers), Sparse and Compressive Sensing Techniques (12 papers) and Bayesian Modeling and Causal Inference (6 papers) and collaborates with scholars based in United States, Australia and Hong Kong. Garvesh Raskutti's co-authors include Martin J. Wainwright, Rebecca Willett, Moshe Zukerman and Eric W. M. Wong and has published in prestigious journals such as Journal of the American Statistical Association, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Information Theory
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