Mikhail Yurochkin
About
Mikhail Yurochkin has authored 14 papers that have received a total of 70 indexed citations.
This includes 12 papers in Artificial Intelligence, 2 papers in Statistics and Probability and 2 papers in Statistical and Nonlinear Physics. The topics of these papers are Bayesian Methods and Mixture Models (5 papers), Topic Modeling (2 papers) and Privacy-Preserving Technologies in Data (2 papers). Mikhail Yurochkin is often cited by papers focused on Bayesian Methods and Mixture Models (5 papers), Topic Modeling (2 papers) and Privacy-Preserving Technologies in Data (2 papers) and collaborates with scholars based in United States, France and Australia. Mikhail Yurochkin's co-authors include XuanLong Nguyen, Mayank Agarwal, Kristjan Greenewald, Soumya Ghosh and Edward Chien and has published in prestigious journals such as and .
In The Last Decade
Fields of papers published by Mikhail Yurochkin
Since SpecializationEngineeringComputer SciencePhysics and AstronomyMathematicsEarth and Planetary SciencesEnergyEnvironmental ScienceMaterials ScienceChemical EngineeringChemistryAgricultural and Biological SciencesVeterinaryDecision SciencesArts and HumanitiesBusiness, Management and AccountingSocial SciencesPsychologyEconomics, Econometrics and FinanceHealth ProfessionsDentistryMedicineBiochemistry, Genetics and Molecular BiologyNeuroscienceNursingImmunology and MicrobiologyPharmacology, Toxicology and Pharmaceutics
Countries citing papers authored by Mikhail Yurochkin
Since SpecializationCitations
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