Project abstract for group boleydl

Scalable Algorithms in Optimization and Machine Learning

Many problems in large scale social networks, data mining, and machine learning can be solved efficiently by methods drawn from optimization (including convex optimization) or using methods based on stochastic search. This group's research focus is to analyse the  convergence behavior of many different algorithms to solve machine learning problem, and to compare the theoretical predictions with the observed behavior from computational experiments.

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