Sciweavers

NIPS
2008
13 years 6 months ago
Fast Rates for Regularized Objectives
We study convergence properties of empirical minimization of a stochastic strongly convex objective, where the stochastic component is linear. We show that the value attained by t...
Karthik Sridharan, Shai Shalev-Shwartz, Nathan Sre...
COLT
2006
Springer
13 years 8 months ago
Ranking with a P-Norm Push
We are interested in supervised ranking with the following twist: our goal is to design algorithms that perform especially well near the top of the ranked list, and are only requir...
Cynthia Rudin