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Electronic Colloquium on Computational Complexity

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TR14-021 | 18th February 2014
Clement Canonne, Ronitt Rubinfeld

Testing probability distributions underlying aggregated data

In this paper, we analyze and study a hybrid model for testing and learning probability distributions. Here, in addition to samples, the testing algorithm is provided with one of two different types of oracles to the unknown distribution $D$ over $[n]$. More precisely, we define both the dual and extended ... more >>>


TR14-020 | 18th February 2014
Pavel Hrubes, Anup Rao

Circuits with Medium Fan-In

Revisions: 1

We consider boolean circuits in which every gate may compute an arbitrary boolean function of $k$ other gates, for a parameter $k$. We give an explicit function $f:\bits^n \rightarrow \bits$ that requires at least $\Omega(\log^2 n)$ non-input gates when $k = 2n/3$. When the circuit is restricted to being depth ... more >>>


TR14-019 | 14th February 2014
Parikshit Gopalan, Amir Yehudayoff

Inequalities and tail bounds for elementary symmetric polynomials

This paper studies the elementary symmetric polynomials $S_k(x)$ for $x \in \mathbb{R}^n$. We show that if $|S_k(x)|,|S_{k+1}(x)|$ are small for some $k>0$ then $|S_\ell(x)|$ is also small for all $\ell > k$. We use this to prove probability tail bounds for the symmetric polynomials when the inputs are only $t$-wise ... more >>>



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