photo: Edinburgh city centre - view from Calton Hill
The age of Big Data is here: data of huge sizes is becoming ubiquitous. With this comes the need to solve optimization problems of unprecedented sizes. Machine learning, compressed sensing, social network science and computational biology are some of many prominent application domains where it is easy to formulate optimization problems with millions or billions of variables. Classical optimization algorithms are not designed to scale to instances of this size; new approaches are needed. This workshop aims to bring together researchers working on novel optimization algorithms and codes capable of working in the Big Data setting.
Best Poster Prize
The best student/postdoc poster will be awarded a prize: iPAD mini, sponsored by SAS Institute, USA. Send your poster in pdf format to peter.richtarik at ed.ac.uk and bring a printout with you to the workshop. Extended Deadline: April 29, 2013. Posters will be posted onto the workshop website.
Update (May 3, 2013): The best Poster Prize goes to Tuomo Valkonen (Cambridge), for the poster Computational problems in magnetic resonance imaging. Jury: Prof Stephen Wright (Wisconsin-Madison) and Dr Imre Pólik (SAS Institute).
Anyone interested in the newest developments in big data optimization algorithms, theory and applications.