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KAUST Research Workshop on Optimization and Big Data

Start Date: February 5, 2018
End Date: February 5, 2018

​KAUST Research Workshop on Optimization and Big Data

The age of “big data” is here. Data of unprecedented sizes is becoming ubiquitous bringing new challenges and new opportunities. With this comes the need to solve optimization problems of exceptional sizes. Machine learning, compressed sensing, imagining, social network science and computational biology are some of many prominent application domains where it is increasingly common to formulate and solve optimization problems with billions of variables. Classical algorithms are not designed to scale to instances of this size and hence new approaches are needed. These approaches utilize novel algorithmic design involving tools such as distributed and parallel computing, randomization, asynchronicity, decomposition, sketching and streaming.
 
The KAUST Research Workshop on Optimization and Big Data aims to bring together leading and rising researchers from academia and industry working on novel optimization algorithms and distributed systems capable of working in the Big Data setting to present and discuss their work. The event is open to the KAUST community.
 
This event is organized by Prof. Peter Richtarik and Prof. Marco Canini  (CEMSE) with financial support from the KAUST Office of Sponsored Research. Co-sponsored by the Alan Turing Institute (London), and additional support provided by the KAUST Industry Collaboration Program (KICP), Industry Partnerships office. 

More Information:

​Date: 5 - 7 Feb. 2018
Location: Conference Center (bldg.19), Level 3, Hall 1 and 2
Agenda: Please click here ​