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Electronic Colloquium on Computational Complexity

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Reports tagged with explicit construction:
TR05-155 | 10th December 2005
Amir Shpilka

Constructions of low-degree and error-correcting epsilon-biased sets

In this work we give two new constructions of $\epsilon$-biased
generators. Our first construction answers an open question of
Dodis and Smith, and our second construction
significantly extends a result of Mossel et al.
In particular we obtain the following results:

1. We construct a family of asymptotically good binary ... more >>>

TR09-121 | 22nd November 2009
Zohar Karnin, Yuval Rabani, Amir Shpilka

Explicit Dimension Reduction and Its Applications

We construct a small set of explicit linear transformations mapping $R^n$ to $R^{O(\log n)}$, such that the $L_2$ norm of
any vector in $R^n$ is distorted by at most $1\pm o(1)$ in at
least a fraction of $1 - o(1)$ of the transformations in the set.
Albeit the tradeoff between ... more >>>

TR12-050 | 25th April 2012
Avraham Ben-Aroya, Gil Cohen

Gradual Small-Bias Sample Spaces

Revisions: 3

A $(k,\epsilon)$-biased sample space is a distribution over $\{0,1\}^n$ that $\epsilon$-fools every nonempty linear test of size at most $k$. Since they were introduced by Naor and Naor [SIAM J. Computing, 1993], these sample spaces have become a central notion in theoretical computer science with a variety of applications.

When ... more >>>

TR12-158 | 14th November 2012
Aditya Bhaskara, Devendra Desai, Srikanth Srinivasan

Optimal Hitting Sets for Combinatorial Shapes

We consider the problem of constructing explicit Hitting sets for Combinatorial Shapes, a class of statistical tests first studied by Gopalan, Meka, Reingold, and Zuckerman (STOC 2011). These generalize many well-studied classes of tests, including symmetric functions and combinatorial rectangles. Generalizing results of Linial, Luby, Saks, and Zuckerman (Combinatorica 1997) ... more >>>

TR13-120 | 4th September 2013
Zeyu Guo

Randomness-efficient Curve Samplers

Curve samplers are sampling algorithms that proceed by viewing the domain as a vector space over a finite field, and randomly picking a low-degree curve in it as the sample. Curve samplers exhibit a nice property besides the sampling property: the restriction of low-degree polynomials over the domain to the ... more >>>

TR14-069 | 5th May 2014
Shashank Agrawal, Divya Gupta, Hemanta Maji, Omkant Pandey, Manoj Prabhakaran

Explicit Non-Malleable Codes Resistant to Permutations

The notion of non-malleable codes was introduced as a relaxation of standard error-correction and error-detection. Informally, a code is non-malleable if the message contained in a modified codeword is either the original message, or a completely unrelated value.

In the information theoretic setting, although existence of such codes for various ... more >>>

TR15-116 | 21st July 2015
Joshua Brakensiek, Venkatesan Guruswami, Samuel Zbarsky

Efficient Low-Redundancy Codes for Correcting Multiple Deletions

We consider the problem of constructing binary codes to recover from $k$-bit deletions with efficient encoding/decoding, for a fixed $k$. The single deletion case is well understood, with the Varshamov-Tenengolts-Levenshtein code from 1965 giving an asymptotically optimal construction with $\approx 2^n/n$ codewords of length $n$, i.e., at most $\log n$ ... more >>>

TR15-117 | 21st July 2015
Boris Bukh, Venkatesan Guruswami

An improved bound on the fraction of correctable deletions

Revisions: 1

We consider codes over fixed alphabets against worst-case symbol deletions. For any fixed $k \ge 2$, we construct a family of codes over alphabet of size $k$ with positive rate, which allow efficient recovery from a worst-case deletion fraction approaching $1-\frac{2}{k+1}$. In particular, for binary codes, we are able to ... more >>>

TR15-178 | 10th November 2015
Eshan Chattopadhyay, Xin Li

Extractors for Sumset Sources

We propose a new model of weak random sources which we call sumset sources. A sumset source $\mathbf{X}$ is the sum of $C$ independent sources $\mathbf{X}_1,\ldots,\mathbf{X}_C$, where each $\mathbf{X}_i$ is an $n$-bit source with min-entropy $k$. We show that extractors for this class of sources can be used to give ... more >>>

TR16-196 | 5th December 2016
Igor Carboni Oliveira, Rahul Santhanam

Pseudodeterministic Constructions in Subexponential Time

We study {\it pseudodeterministic constructions}, i.e., randomized algorithms which output the {\it same solution} on most computation paths. We establish unconditionally that there is an infinite sequence $\{p_n\}_{n \in \mathbb{N}}$ of increasing primes and a randomized algorithm $A$ running in expected sub-exponential time such that for each $n$, on input ... more >>>

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