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Content archived on 2024-06-18

Sublinear Optimization for Machine Learning

Objective

The explosion of data with the expansion of the World Wide Web, social networking and e-commerce is a ripe opportunity for smart data analysis and machine learning on a scale never before encountered. In many applications, making even a few passes over the data is prohibitive. Our research goal is to develop sublinear time optimization algorithms for data analysis and machine learning, i.e. algorithms that do not observe all the data even once, and yet return a provably correct solution with high probability.

Previous research of the PI, conducted mainly at Princeton University and IBM Research, has produced promising preliminary results. This proposal aims to expand this line of research at the host institution.

Fields of science (EuroSciVoc)

Topic(s)

Call for proposal

FP7-PEOPLE-2010-RG
See other projects for this call

Funding Scheme

MC-IRG - International Re-integration Grants (IRG)

Coordinator

TECHNION - ISRAEL INSTITUTE OF TECHNOLOGY
EU contribution
€ 100 000,00
Address
SENATE BUILDING TECHNION CITY
32000 Haifa
Israel
Activity type
Higher or Secondary Education Establishments
Links
Total cost
No data