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» Proving Time Bounds for Randomized Distributed Algorithms
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TIT
2008
102views more  TIT 2008»
13 years 7 months ago
Average Stopping Set Weight Distributions of Redundant Random Ensembles
In this paper, redundant random ensembles are defined and their average stopping set (SS) weight distributions are analyzed. A redundant random ensemble consists of a set of binar...
Tadashi Wadayama
JMLR
2012
11 years 9 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...
DC
2010
13 years 7 months ago
Distributed algorithms for ultrasparse spanners and linear size skeletons
We present efficient algorithms for computing very sparse low distortion spanners in distributed networks and prove some non-trivial lower bounds on the tradeoff between time, spar...
Seth Pettie
IPL
2002
119views more  IPL 2002»
13 years 7 months ago
Randomized splay trees: Theoretical and experimental results
Splay trees are self-organizing binary search trees that were introduced by Sleator and Tarjan [12]. In this paper we present a randomized variant of these trees. The new algorith...
Susanne Albers, Marek Karpinski
SODA
2001
ACM
80views Algorithms» more  SODA 2001»
13 years 8 months ago
On the discrete Bak-Sneppen model of self-organized criticality
We propose a discrete variant of the Bak-Sneppen model for self-organized criticality. In this process, a configuration is an n-bit word, and at each step one chooses a random bit...
Jérémy Barbay, Claire Kenyon