Peter Richtárik

88 papers and 2.0k indexed citations i.

Peter Richtárik has authored 88 papers that have received a total of 2.0k indexed citations. This includes 74 papers in Artificial Intelligence, 63 papers in Computational Mechanics and 21 papers in Statistics and Probability. The topics of these papers are Stochastic Gradient Optimization Techniques (70 papers), Sparse and Compressive Sensing Techniques (62 papers) and Markov Chains and Monte Carlo Methods (14 papers). Peter Richtárik is often cited by papers focused on Stochastic Gradient Optimization Techniques (70 papers), Sparse and Compressive Sensing Techniques (62 papers) and Markov Chains and Monte Carlo Methods (14 papers) and collaborates with scholars based in Saudi Arabia, United Kingdom and United States. Peter Richtárik's co-authors include Martin Takáč, Zheng Qu, Nicolas Loizou, Jakub Konečný and Konstantin Mishchenko and has published in prestigious journals such as Journal of the American Statistical Association, Proceedings of the IEEE and IEEE Transactions on Information Theory.