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» Learning Fourier Sparse Set Functions
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JMLR
2012
11 years 7 months ago
Learning Fourier Sparse Set Functions
Peter Stobbe, Andreas Krause
CORR
2010
Springer
154views Education» more  CORR 2010»
13 years 4 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
COLT
2010
Springer
13 years 2 months ago
Deterministic Sparse Fourier Approximation via Fooling Arithmetic Progressions
A significant Fourier transform (SFT) algorithm, given a threshold and oracle access to a function f, outputs (the frequencies and approximate values of) all the -significant Fou...
Adi Akavia
ICALP
2009
Springer
14 years 5 months ago
Testing Fourier Dimensionality and Sparsity
We present a range of new results for testing properties of Boolean functions that are defined in terms of the Fourier spectrum. Broadly speaking, our results show that the propert...
Parikshit Gopalan, Ryan O'Donnell, Rocco A. Served...
COLT
2008
Springer
13 years 6 months ago
Almost Tight Upper Bound for Finding Fourier Coefficients of Bounded Pseudo- Boolean Functions
A pseudo-Boolean function is a real-valued function defined on {0, 1}n . A k-bounded function is a pseudo-Boolean function that can be expressed as a sum of subfunctions each of w...
Sung-Soon Choi, Kyomin Jung, Jeong Han Kim