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Electronic Colloquium on Computational Complexity

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TR09-018 | 8th March 2009
Yoav Tzur

$GF(2^n)$-Linear Tests versus $GF(2)$-Linear Tests

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A small-biased distribution of bit sequences is defined as one withstanding $GF(2)$-linear tests for randomness, which are linear combinations of the bits themselves. We consider linear combinations over larger fields, specifically, $GF(2^n)$ for $n$ that divides the length of the bit sequence. Indeed, this means that we partition the bits ... more >>>


TR09-017 | 20th February 2009
Joshua Brody

The Maximum Communication Complexity of Multi-party Pointer Jumping.

We study the one-way number-on-the-forhead (NOF) communication
complexity of the k-layer pointer jumping problem. Strong lower
bounds for this problem would have important implications in circuit
complexity. All of our results apply to myopic protocols (where
players see only one layer ahead, but can still ... more >>>


TR09-016 | 21st February 2009
Ilias Diakonikolas, Parikshit Gopalan, Ragesh Jaiswal, Rocco Servedio, Emanuele Viola

Bounded Independence Fools Halfspaces

We show that any distribution on {-1,1}^n that is k-wise independent fools any halfspace h with error \eps for k = O(\log^2(1/\eps)/\eps^2). Up to logarithmic factors, our result matches a lower bound by Benjamini, Gurel-Gurevich, and Peled (2007) showing that k = \Omega(1/(\eps^2 \cdot \log(1/\eps))). Using standard constructions of k-wise ... more >>>



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