This event has ended. View the official site or create your own event → Check it out
This event has ended. Create your own
View analytic
Tuesday, December 8 • 19:00 - 23:59
Subset Selection by Pareto Optimization

Sign up or log in to save this to your schedule and see who's attending!

Selecting the optimal subset from a large set of variables is a fundamental problem in various learning tasks such as feature selection, sparse regression, dictionary learning, etc. In this paper, we propose the POSS approach which employs evolutionary Pareto optimization to find a small-sized subset with good performance. We prove that for sparse regression, POSS is able to achieve the best-so-far theoretically guaranteed approximation performance efficiently. Particularly, for the \emph{Exponential Decay} subclass, POSS is proven to achieve an optimal solution. Empirical study verifies the theoretical results, and exhibits the superior performance of POSS to greedy and convex relaxation methods.

Tuesday December 8, 2015 19:00 - 23:59
210 C #78