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FSTTCS
2004
Springer
15 years 11 months ago
Testing Geometric Convexity
We consider the problem of determining whether a given set S in Rn is approximately convex, i.e., if there is a convex set K ∈ Rn such that the volume of their symmetric differe...
Luis Rademacher, Santosh Vempala
FOCS
2008
IEEE
16 years 19 days ago
The Bayesian Learner is Optimal for Noisy Binary Search (and Pretty Good for Quantum as Well)
We use a Bayesian approach to optimally solve problems in noisy binary search. We deal with two variants: • Each comparison is erroneous with independent probability 1 − p. â€...
Michael Ben-Or, Avinatan Hassidim
ALGORITHMICA
2004
130views more  ALGORITHMICA 2004»
15 years 6 months ago
The Power of Priority Algorithms for Facility Location and Set Cover
We apply and extend the priority algorithm framework introduced by Borodin, Nielsen, and Rackoff to define "greedy-like" algorithms for the (uncapacitated) facility locat...
Spyros Angelopoulos, Allan Borodin
ICASSP
2011
IEEE
14 years 10 months ago
Adaptive frequency-domain biased estimation algorithms with automatic adjustment of shrinkage factors
In this work, we propose adaptive frequency-domain biased estimation algorithms with mechanisms to automatically adjust the shrinkage factors. The proposed estimation algorithms i...
Sheng Li, Rodrigo C. de Lamare, Martin Haardt
CORR
2010
Springer
152views Education» more  CORR 2010»
15 years 6 months ago
A Faster Algorithm for Quasi-convex Integer Polynomial Optimization
We present a faster exponential-time algorithm for integer optimization over quasi-convex polynomials. We study the minimization of a quasiconvex polynomial subject to s quasi-con...
Robert Hildebrand, Matthias Köppe