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Electronic Colloquium on Computational Complexity

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TR20-171 | 12th November 2020
Russell Impagliazzo, Sam McGuire

Comparing computational entropies below majority (or: When is the dense model theorem false?)

Computational pseudorandomness studies the extent to which a random variable $\bf{Z}$ looks like the uniform distribution according to a class of tests $\cal{F}$. Computational entropy generalizes computational pseudorandomness by studying the extent which a random variable looks like a \emph{high entropy} distribution. There are different formal definitions of computational entropy ... more >>>


TR20-170 | 9th November 2020
Max Hopkins, Tali Kaufman, Shachar Lovett

High Dimensional Expanders: Random Walks, Pseudorandomness, and Unique Games

Revisions: 1

Higher order random walks (HD-walks) on high dimensional expanders have played a crucial role in a number of recent breakthroughs in theoretical computer science, perhaps most famously in the recent resolution of the Mihail-Vazirani conjecture (Anari et al. STOC 2019), which focuses on HD-walks on one-sided local-spectral expanders. In this ... more >>>


TR20-169 | 11th November 2020
Zeyu Guo, Noga Ron-Zewi

Efficient List-Decoding with Constant Alphabet and List Sizes

Revisions: 1

We present an explicit and efficient algebraic construction of capacity-achieving list decodable codes with both constant alphabet and constant list sizes. More specifically, for any $R \in (0,1)$ and $\epsilon>0$, we give an algebraic construction of an infinite family of error-correcting codes of rate $R$, over an alphabet of size ... more >>>



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