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Electronic Colloquium on Computational Complexity

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REPORTS > KEYWORD > SMALL BIAS SAMPLE SPACES:
Reports tagged with Small Bias Sample Spaces:
TR03-013 | 7th March 2003
Luca Trevisan

An epsilon-Biased Generator in NC0

Comments: 1

Cryan and Miltersen recently considered the question
of whether there can be a pseudorandom generator in
NC0, that is, a pseudorandom generator such that every
bit of the output depends on a constant number k of bits
of the seed. They show that for k=3 there ... more >>>


TR03-043 | 14th May 2003
Elchanan Mossel, Amir Shpilka, Luca Trevisan

On epsilon-Biased Generators in NC0

Cryan and Miltersen recently considered the question
of whether there can be a pseudorandom generator in
NC0, that is, a pseudorandom generator such that every
bit of the output depends on a constant number k of bits
of the seed. They show that for k=3 there is always a
distinguisher; ... more >>>


TR19-171 | 27th November 2019
Oded Goldreich

Improved bounds on the AN-complexity of multilinear functions

Revisions: 5


We consider arithmetic circuits with arbitrary large (multi-linear) gates for computing multi-linear functions. An adequate complexity measure for such circuits is the maximum between the arity of the gates and their number.
This model and the corresponding complexity measure were introduced by Goldreich and Wigderson (ECCC, TR13-043, 2013), ... more >>>


TR25-179 | 12th November 2025
Gil Cohen, Itay Cohen

Wide Replacement Products Meet Gray Codes: Toward Optimal Small-Bias Sets

Optimal small-bias sets sit at the crossroads of coding theory and pseudorandomness. Reaching optimal parameters would, in particular, meet the long-standing goal of matching the Gilbert-Varshamov bound for binary codes in the high-distance regime. In a breakthrough, Ta-Shma (STOC 2017) constructed near-optimal small-bias sets via the Rozenman-Wigderson expander-walk framework, using ... more >>>




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