Some algorithms for large-scale convex and linear minimization in relative scale(2007)
Academic advisors
Yurii Nesterov
Website
https://richtarik.org
Peter Richtarik is a Slovak mathematician and computer scientist[1] working in the area of big data optimization and machine learning, known for his work on randomized coordinate descent algorithms, stochastic gradient descent and federated learning. He is currently a Professor of Computer Science at the King Abdullah University of Science and Technology.
^"Richtarik's DBLP profile". Retrieved December 23, 2020.
PeterRichtarik is a Slovak mathematician and computer scientist working in the area of big data optimization and machine learning, known for his work...
topic, see, and the references therein. In 2015, Robert M. Gower and PeterRichtarik developed a versatile randomized iterative method for solving a consistent...
Intelligence, Jakub Konečný, H. Brendan McMahan, Daniel Ramage and PeterRichtárik, 2016 Berhanu, Yoseph. "A Framework for Multi-source Prefetching Through...
"Accreditation material of FMFI" (PDF). Retrieved 24 April 2023. Richtárik, Peter. "Slovenskí vedci a vedkyne s vysokým Hirschovým indexom". www.slovenskivedci...
Method is an optimization algorithm popularized by Nesterov (2010) and Richtárik and Takáč (2011). The first analysis of this method, when applied to the...
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