Levente Kocsis
About
Levente Kocsis has authored 14 papers that have received a total of 154 indexed citations.
This includes 7 papers in Artificial Intelligence, 6 papers in Management Science and Operations Research and 6 papers in Information Systems. The topics of these papers are Recommender Systems and Techniques (6 papers), Advanced Bandit Algorithms Research (5 papers) and Stochastic Gradient Optimization Techniques (3 papers). Levente Kocsis is often cited by papers focused on Recommender Systems and Techniques (6 papers), Advanced Bandit Algorithms Research (5 papers) and Stochastic Gradient Optimization Techniques (3 papers) and collaborates with scholars based in Hungary, Canada and France. Levente Kocsis's co-authors include András A. Benczúr, Róbert Pálovics, Csaba Szepesvári, András György and Márk Jelasity and has published in prestigious journals such as Communications of the ACM, Machine Learning and Perception
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