Optimization and Machine Learning Research Group
Prof. Richtarik's research interests lie at the intersection of mathematics, computer science, machine learning, optimization, numerical linear algebra, high performance computing and applied probability. He is interested in developing zero, first, and second-order algorithms for convex and nonconvex optimization problems described by big data, with a particular focus on randomized, parallel and distributed methods. He is the co-inventor of federated learning, a Google platform for machine learning on mobile devices preserving privacy of users' data.
Professor,
Computer Science
Senior Research Scientist,
Visual Computing Center
Research Scientist,
Computer Science
Postdoctoral Fellow,
Optimization and Machine Learning Research Group
Postdoctoral Research Fellow,
Applied Mathematics and Computational Sciences
Postdoctoral Research Fellow,
Applied Mathematics and Computational Sciences
PhD Student,
Computer Science
PhD Student,
Computer Science
MS/PhD Student,
Computer Science
PhD Student,
Statistics
Postdoctoral Research Fellow,
Computer Science
PhD Student,
Computer Science
PhD Student,
Computer Science
Monday, June 27, 18:00
- 20:00
Building 5, Level 5, Room 5209
Thursday, July 30, 16:00
- 18:00
KAUST
Monday, December 02, 12:00
- 13:00
Building 9, Level 2, Hall 1, Room 2322
Monday, November 11, 12:00
- 13:00
Building 9, Level 2, Hall 1, Room 2322
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