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NIPS
2008
14 years 11 months ago
On the Generalization Ability of Online Strongly Convex Programming Algorithms
This paper examines the generalization properties of online convex programming algorithms when the loss function is Lipschitz and strongly convex. Our main result is a sharp bound...
Sham M. Kakade, Ambuj Tewari
ICRA
2006
IEEE
99views Robotics» more  ICRA 2006»
15 years 3 months ago
MRSAM: a Quadratically Competitive Multi-robot Online Navigation Algorithm
— We explore an online problem where a group of robots has to find a target whose position is unknown in an unknown planar environment whose geometry is acquired by the robots d...
Shahar Sarid, Amir Shapiro, Yoav Gabriely
CORR
2011
Springer
202views Education» more  CORR 2011»
14 years 4 months ago
Online Least Squares Estimation with Self-Normalized Processes: An Application to Bandit Problems
The analysis of online least squares estimation is at the heart of many stochastic sequential decision-making problems. We employ tools from the self-normalized processes to provi...
Yasin Abbasi-Yadkori, Dávid Pál, Csa...
STACS
2009
Springer
15 years 4 months ago
Semi-Online Preemptive Scheduling: One Algorithm for All Variants
We present a unified optimal semi-online algorithm for preemptive scheduling on uniformly related machines with the objective to minimize the makespan. This algorithm works for a...
Tomás Ebenlendr, Jiri Sgall
COCOON
2001
Springer
15 years 2 months ago
On-Line Variable Sized Covering
We consider one-dimensional and multi-dimensional vector covering with variable sized bins. In the one-dimensional case, we consider variable sized bin covering with bounded item ...
Leah Epstein