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ESA
2006
Springer
82views Algorithms» more  ESA 2006»
13 years 11 months ago
Preemptive Online Scheduling: Optimal Algorithms for All Speeds
Our main result is an optimal online algorithm for preemptive scheduling on uniformly related machines with the objective to minimize makespan. The algorithm is deterministic, yet...
Tomás Ebenlendr, Wojciech Jawor, Jiri Sgall
NIPS
2008
13 years 8 months ago
Mind the Duality Gap: Logarithmic regret algorithms for online optimization
We describe a primal-dual framework for the design and analysis of online strongly convex optimization algorithms. Our framework yields the tightest known logarithmic regret bound...
Shai Shalev-Shwartz, Sham M. Kakade
EOR
2007
133views more  EOR 2007»
13 years 7 months ago
Using genetic algorithm for dynamic and multiple criteria web-site optimizations
In today’s competitive electronic marketplace, companies try to create long-lasting relations with their online customers. Log files and registration forms generate millions of...
Arben Asllani, Alireza Lari
COLT
2006
Springer
13 years 11 months ago
Online Learning Meets Optimization in the Dual
We describe a novel framework for the design and analysis of online learning algorithms based on the notion of duality in constrained optimization. We cast a sub-family of universa...
Shai Shalev-Shwartz, Yoram Singer
COLT
2006
Springer
13 years 11 months ago
Logarithmic Regret Algorithms for Online Convex Optimization
In an online convex optimization problem a decision-maker makes a sequence of decisions, i.e., chooses a sequence of points in Euclidean space, from a fixed feasible set. After ea...
Elad Hazan, Adam Kalai, Satyen Kale, Amit Agarwal