Elina Robeva
About
Elina Robeva has authored 22 papers that have received a total of 281 indexed citations.
This includes 10 papers in Computational Theory and Mathematics, 8 papers in Computational Mathematics and 6 papers in Artificial Intelligence. The topics of these papers are Tensor decomposition and applications (8 papers), Matrix Theory and Algorithms (6 papers) and Bayesian Modeling and Causal Inference (4 papers). Elina Robeva is often cited by papers focused on Tensor decomposition and applications (8 papers), Matrix Theory and Algorithms (6 papers) and Bayesian Modeling and Causal Inference (4 papers) and collaborates with scholars based in United States, Canada and Germany. Elina Robeva's co-authors include Bernd Sturmfels, Mathias Drton, Benjamin Recht, Philippe Rigollet and Jan-Christian Hütter and has published in prestigious journals such as The Annals of Statistics, Advances in Mathematics and SIAM Journal on Matrix Analysis and Applications
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