Rina Foygel
About
Rina Foygel has authored 9 papers that have received a total of 494 indexed citations.
This includes 4 papers in Artificial Intelligence, 4 papers in Computational Mechanics and 3 papers in Statistics and Probability. The topics of these papers are Sparse and Compressive Sensing Techniques (4 papers), Statistical Methods and Inference (3 papers) and Bayesian Modeling and Causal Inference (2 papers). Rina Foygel is often cited by papers focused on Sparse and Compressive Sensing Techniques (4 papers), Statistical Methods and Inference (3 papers) and Bayesian Modeling and Causal Inference (2 papers) and collaborates with scholars based in United States, Canada and The Netherlands. Rina Foygel's co-authors include Mathias Drton, Nathan Srebro, Megan Blossom, Seth Sullivant and Ruslan Salakhutdinov and has published in prestigious journals such as IEEE Transactions on Information Theory, The Annals of Statistics and Journal of Child Language
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