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» Proving Lower Bounds Via Pseudo-random Generators
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FOCS
2010
IEEE
13 years 5 months ago
The Coin Problem and Pseudorandomness for Branching Programs
The Coin Problem is the following problem: a coin is given, which lands on head with probability either 1/2 + or 1/2 - . We are given the outcome of n independent tosses of this co...
Joshua Brody, Elad Verbin
BMCBI
2010
175views more  BMCBI 2010»
13 years 7 months ago
Calibur: a tool for clustering large numbers of protein decoys
Background: Ab initio protein structure prediction methods generate numerous structural candidates, which are referred to as decoys. The decoy with the most number of neighbors of...
Shuai Cheng Li, Yen Kaow Ng
STOC
2009
ACM
150views Algorithms» more  STOC 2009»
14 years 8 months ago
Integrality gaps for Sherali-Adams relaxations
We prove strong lower bounds on integrality gaps of Sherali?Adams relaxations for MAX CUT, Vertex Cover, Sparsest Cut and other problems. Our constructions show gaps for Sherali?A...
Moses Charikar, Konstantin Makarychev, Yury Makary...
CORR
2006
Springer
125views Education» more  CORR 2006»
13 years 7 months ago
Barriers and local minima in energy landscapes of stochastic local search
: A local search algorithm operating on an instance of a Boolean constraint satisfaction problem (in particular, k-SAT) can be viewed as a stochastic process traversing successive ...
Petteri Kaski
SIAMCOMP
2002
124views more  SIAMCOMP 2002»
13 years 7 months ago
The Nonstochastic Multiarmed Bandit Problem
Abstract. In the multiarmed bandit problem, a gambler must decide which arm of K nonidentical slot machines to play in a sequence of trials so as to maximize his reward. This class...
Peter Auer, Nicolò Cesa-Bianchi, Yoav Freun...