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Electronic Colloquium on Computational Complexity

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TR25-107 | 30th July 2025
Justin Oh, Ronen Shaltiel

Extractors for Samplable Distributions from the Two-Source Extractor Recipe

Revisions: 1

Trevisan and Vadhan [TV00] first constructed seedless extractors for distributions samplable by poly-size circuits under the very strong complexity theoretic hardness assumption that $E=DTIME(2^{O(n)})$ is hard for exponential size circuits with oracle access to $\Sigma_6^{P}$. Their construction works when the distribution has large min-entropy $k=(1-\gamma) \cdot n$, for small constant ... more >>>


TR25-106 | 30th July 2025
Sreejata Bhattacharya, Arkadev Chattopadhyay

Exponential Lower Bounds on the Size of ResLin Proofs of Nearly Quadratic Depth

Itsykson and Sokolov identified resolution over parities, denoted by $\text{Res}(\oplus)$, as a natural and simple fragment of $\text{AC}^0[2]$-Frege for which no super-polynomial lower bounds on size of proofs are known. Building on a recent line of work, Efremenko and Itsykson proved lower bounds of the form $\text{exp}(N^{\Omega(1)})$, on the size ... more >>>


TR25-105 | 29th July 2025
Oded Goldreich, Guy Rothblum

Location-Invariant Properties of Functions versus Properties of Distributions: United in Testing but Separated in Verification

A property of functions is called location-invariant (or symmetric) if it can be characterized in terms of the frequencies in which each value occurs in the function, regardless of the locations in which each value occurs.
It is known that the (query) complexity of testing location-invariant properties of functions ... more >>>



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