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Electronic Colloquium on Computational Complexity

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TR17-091 | 17th May 2017
Andrej Bogdanov

Small bias requires large formulas

Revisions: 1

A small-biased function is a randomized function whose distribution of truth-tables is small-biased. We demonstrate that known explicit lower bounds on the size of (1) general Boolean formulas, (2) Boolean formulas of fan-in two, (3) de Morgan formulas, as well as (4) correlation lower bounds against small de Morgan formulas ... more >>>


TR17-090 | 15th May 2017
Chin Ho Lee, Emanuele Viola

The coin problem for product tests

Let $X_{m, \eps}$ be the distribution over $m$ bits $(X_1, \ldots, X_m)$
where the $X_i$ are independent and each $X_i$ equals $1$ with
probability $(1+\eps)/2$ and $0$ with probability $(1-\eps)/2$. We
consider the smallest value $\eps^*$ of $\eps$ such that the distributions
$X_{m,\eps}$ and $X_{m,0}$ can be distinguished with constant
more >>>


TR17-089 | 11th May 2017
Irit Dinur, Tali Kaufman

High dimensional expanders imply agreement expanders

We show that high dimensional expanders imply derandomized direct product tests, with a number of subsets that is *linear* in the size of the universe.

Direct product tests belong to a family of tests called agreement tests that are important components in PCP constructions and include, for example, low degree ... more >>>



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