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Electronic Colloquium on Computational Complexity

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TR16-026 | 20th February 2016
Anindya De, Michael Saks, Sijian Tang

Noisy population recovery in polynomial time

In the noisy population recovery problem of Dvir et al., the goal is to learn
an unknown distribution $f$ on binary strings of length $n$ from noisy samples. For some parameter $\mu \in [0,1]$,
a noisy sample is generated by flipping each coordinate of a sample from $f$ independently with
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TR16-025 | 26th February 2016
Shachar Lovett

The Fourier structure of low degree polynomials

Revisions: 1

We study the structure of the Fourier coefficients of low degree multivariate polynomials over finite fields. We consider three properties: (i) the number of nonzero Fourier coefficients; (ii) the sum of the absolute value of the Fourier coefficients; and (iii) the size of the linear subspace spanned by the nonzero ... more >>>


TR16-024 | 22nd February 2016
Patrick Scharpfenecker, Jacobo Toran

Solution-Graphs of Boolean Formulas and Isomorphism

The solution graph of a Boolean formula on n variables is the subgraph of the hypercube Hn induced by the satisfying assignments of the formula. The structure of solution graphs has been the object of much research in recent years since it is important for the performance of SAT-solving procedures ... more >>>



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