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» Randomized algorithms for online bounded bidding
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JMLR
2012
11 years 10 months ago
Beyond Logarithmic Bounds in Online Learning
We prove logarithmic regret bounds that depend on the loss L∗ T of the competitor rather than on the number T of time steps. In the general online convex optimization setting, o...
Francesco Orabona, Nicolò Cesa-Bianchi, Cla...
LATIN
2004
Springer
14 years 25 days ago
Embracing the Giant Component
Consider a game in which edges of a graph are provided a pair at a time, and the player selects one edge from each pair, attempting to construct a graph with a component as large ...
Abraham Flaxman, David Gamarnik, Gregory B. Sorkin
SODA
1996
ACM
101views Algorithms» more  SODA 1996»
13 years 8 months ago
Randomized Robot Navigation Algorithms
We consider the problem faced by a mobile robot that has to reach a given target by traveling through an unmapped region in the plane containing oriented rectangular obstacles. We...
Piotr Berman, Avrim Blum, Amos Fiat, Howard J. Kar...
ICALP
2011
Springer
12 years 11 months ago
On the Advice Complexity of the k-Server Problem
Competitive analysis is the established tool for measuring the output quality of algorithms that work in an online environment. Recently, the model of advice complexity has been in...
Hans-Joachim Böckenhauer, Dennis Komm, Rastis...
COCOON
2001
Springer
13 years 12 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