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Electronic Colloquium on Computational Complexity
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REPORTS > AUTHORS > DAVID ZUCKERMAN:
All reports by Author David Zuckerman:

TR10-006 | 11th January 2010
YI WU, Ryan O'Donnell, David Zuckerman, Parikshit Gopalan

Fooling functions of halfspaces under product distributions

Revisions: 2
We construct pseudorandom generators that fool functions of halfspaces (threshold functions) under a very broad class of product distributions. This class includes not only familiar cases such as the uniform distribution on the discrete cube, the uniform distribution on the solid cube, and the multivariate Gaussian distribution, but also includes ... more >>>

TR09-086 | 2nd October 2009
Arnab Bhattacharyya, Swastik Kopparty, Grant Schoenebeck, Madhu Sudan, David Zuckerman

Optimal testing of Reed-Muller codes

We consider the problem of testing if a given function $f : \F_2^n \rightarrow \F_2$ is close to any degree $d$ polynomial in $n$ variables, also known as the Reed-Muller testing problem. Alon et al.~\cite{AKKLR} proposed and analyzed a natural $2^{d+1}$-query test for this property and showed that it accepts ... more >>>

TR06-026 | 27th February 2006
Ronen Gradwohl, Salil Vadhan, David Zuckerman

Random Selection with an Adversarial Majority

We consider the problem of random selection, where $p$ players follow a protocol to jointly select a random element of a universe of size $n$. However, some of the players may be adversarial and collude to force the output to lie in a small subset of the universe. We describe ... more >>>

TR05-100 | 30th August 2005
David Zuckerman

Linear Degree Extractors and the Inapproximability of Max Clique and Chromatic Number

A randomness extractor is an algorithm which extracts randomness from a low-quality random source, using some additional truly random bits. We construct new extractors which require only log n + O(1) additional random bits for sources with constant entropy rate. We further construct dispersers, which are similar to one-sided extractors, ... more >>>

TR05-012 | 17th January 2005
Luca Trevisan, Salil Vadhan, David Zuckerman

Compression of Samplable Sources

We study the compression of polynomially samplable sources. In particular, we give efficient prefix-free compression and decompression algorithms for three classes of such sources (whose support is a subset of {0,1}^n). 1. We show how to compress sources X samplable by logspace machines to expected length H(X)+O(1). Our next results ... more >>>

TR01-036 | 2nd May 2001
Amnon Ta-Shma, David Zuckerman, Shmuel Safra

Extractors from Reed-Muller Codes

Finding explicit extractors is an important derandomization goal that has received a lot of attention in the past decade. This research has focused on two approaches, one related to hashing and the other to pseudorandom generators. A third view, regarding extractors as good error correcting codes, was noticed before. Yet, ... more >>>

TR97-045 | 29th September 1997
Oded Goldreich, David Zuckerman

Another proof that BPP subseteq PH (and more).

Comments: 1
We provide another proof of the Sipser--Lautemann Theorem by which $BPP\subseteq MA$ ($\subseteq PH$). The current proof is based on strong results regarding the amplification of $BPP$, due to Zuckerman. Given these results, the current proof is even simpler than previous ones. Furthermore, extending the proof leads to two results ... more >>>



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