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» Efficient Algorithms for Online Decision Problems
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ICML
2009
IEEE
14 years 6 months ago
Efficient learning algorithms for changing environments
We study online learning in an oblivious changing environment. The standard measure of regret bounds the difference between the cost of the online learner and the best decision in...
Elad Hazan, C. Seshadhri
STOC
2007
ACM
146views Algorithms» more  STOC 2007»
14 years 6 months ago
Playing games with approximation algorithms
In an online linear optimization problem, on each period t, an online algorithm chooses st S from a fixed (possibly infinite) set S of feasible decisions. Nature (who may be adve...
Sham M. Kakade, Adam Tauman Kalai, Katrina Ligett
COLT
2006
Springer
13 years 9 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
ICIC
2007
Springer
13 years 11 months ago
An Improved Nested Partitions Algorithm Based on Simulated Annealing in Complex Decision Problem Optimization
: - This paper introduces the main ideas of the nested partitions (NP) method, analyses its efficiency theoretically and proposes the way to improve the optimization efficiency of ...
Yan Luo, Changrui Yu
ECCC
2010
80views more  ECCC 2010»
13 years 5 months ago
Regret Minimization for Online Buffering Problems Using the Weighted Majority Algorithm
Suppose a decision maker has to purchase a commodity over time with varying prices and demands. In particular, the price per unit might depend on the amount purchased and this pri...
Melanie Winkler, Berthold Vöcking, Sascha Geu...