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CORR
2010
Springer
154views Education» more  CORR 2010»
14 years 12 months ago
Improved Approximation Guarantees for Sublinear-Time Fourier Algorithms
ABSTRACT. In this paper modified variants of the sparse Fourier transform algorithms from [14] are presented which improve on the approximation error bounds of the original algorit...
M. A. Iwen
GECCO
2007
Springer
192views Optimization» more  GECCO 2007»
15 years 6 months ago
Convergence of stochastic search algorithms to gap-free pareto front approximations
Recently, a convergence proof of stochastic search algorithms toward finite size Pareto set approximations of continuous multi-objective optimization problems has been given. The...
Oliver Schütze, Marco Laumanns, Emilia Tantar...
INFOCOM
2007
IEEE
15 years 6 months ago
A Constant Approximation Algorithm for Interference Aware Broadcast in Wireless Networks
— Broadcast protocols play a vital role in multihop wireless networks. Due to the broadcast nature of radio signals, a node’s interference range can be larger than its transmis...
Zhenming Chen, Chunming Qiao, Jinhui Xu, Taekkyeun...
FOCS
2008
IEEE
15 years 6 months ago
Submodular Approximation: Sampling-based Algorithms and Lower Bounds
We introduce several generalizations of classical computer science problems obtained by replacing simpler objective functions with general submodular functions. The new problems i...
Zoya Svitkina, Lisa Fleischer
TOMACS
2010
79views more  TOMACS 2010»
14 years 6 months ago
A stochastic approximation method with max-norm projections and its applications to the Q-learning algorithm
In this paper, we develop a stochastic approximation method to solve a monotone estimation problem and use this method to enhance the empirical performance of the Q-learning algor...
Sumit Kunnumkal, Huseyin Topaloglu