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Electronic Colloquium on Computational Complexity

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TR20-142 | 15th September 2020
Vahid Reza Asadi, Igor Shinkar

Relaxed Locally Correctable Codes with Improved Parameters

Locally decodable codes (LDCs) are error-correcting codes $C : \Sigma^k \to \Sigma^n$ that admit a local decoding algorithm that recovers each individual bit of the message by querying only a few bits from a noisy codeword. An important question in this line of research is to understand the optimal trade-off ... more >>>


TR20-141 | 11th September 2020
Inbar Ben Yaacov, Gil Cohen, Anand Kumar Narayanan

Candidate Tree Codes via Pascal Determinant Cubes

Tree codes are combinatorial structures introduced by Schulman (STOC 1993) as key ingredients in interactive coding schemes. Asymptotically-good tree codes are long known to exist, yet their explicit construction remains a notoriously hard open problem. Even proposing a plausible construction, without the burden of proof, is difficult and the defining ... more >>>


TR20-140 | 14th September 2020
Ilias Diakonikolas, Themis Gouleakis, Daniel Kane, John Peebles, Eric Price

Optimal Testing of Discrete Distributions with High Probability

We study the problem of testing discrete distributions with a focus on the high probability regime.
Specifically, given samples from one or more discrete distributions, a property $\mathcal{P}$, and
parameters $0< \epsilon, \delta <1$, we want to distinguish {\em with probability at least $1-\delta$}
whether these distributions satisfy $\mathcal{P}$ ... more >>>



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