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Electronic Colloquium on Computational Complexity

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TR20-162 | 7th November 2020
Dean Doron, Mary Wootters

High-Probability List-Recovery, and Applications to Heavy Hitters

Revisions: 3

An error correcting code $\mathcal{C} \colon \Sigma^k \to \Sigma^n$ is list-recoverable from input list size $\ell$ if for any sets $\mathcal{L}_1, \ldots, \mathcal{L}_n \subseteq \Sigma$ of size at most $\ell$, one can efficiently recover the list $\mathcal{L} = \{ x \in \Sigma^k : \forall j \in [n], \mathcal{C}(x)_j \in \mathcal{L}_j ... more >>>


TR20-161 | 5th November 2020
Gil Cohen, Dean Doron, Shahar Samocha

Seed Protecting Extractors

We introduce a new type of seeded extractors we dub seed protecting extractors. Informally, a seeded extractor is seed protecting against a class of functions $C$, mappings seeds to seeds, if the seed $Y$ remains close to uniform even after observing the output $\mathrm{Ext}(X,A(Y))$ for every choice of $A \in ... more >>>


TR20-160 | 2nd November 2020
Oded Goldreich, Avi Wigderson

Non-adaptive vs Adaptive Queries in the Dense Graph Testing Model

Revisions: 3

We study the relation between the query complexity of adaptive and non-adaptive testers in the dense graph model.
It has been known for a couple of decades that the query complexity of non-adaptive testers is at most quadratic in the query complexity of adaptive testers.
We show that ... more >>>



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