Hardness of approximate nearest neighbor search

A Rubinstein - Proceedings of the 50th annual ACM SIGACT …, 2018 - dl.acm.org
We prove conditional near-quadratic running time lower bounds for approximate
Bichromatic Closest Pair with Euclidean, Manhattan, Hamming, or edit distance. Specifically …

Quantified derandomization: how to find water in the ocean

R Tell - Foundations and Trends® in Theoretical Computer …, 2022 - nowpublishers.com
The focus of this survey is the question of quantified derandomization, which was introduced
by Goldreich and Wigderson [44]: Does derandomization of probabilistic algorithms become …

Fooling polynomials using invariant theory

H Derksen, E Viola - 2022 IEEE 63rd Annual Symposium on …, 2022 - ieeexplore.ieee.org
We revisit the problem of constructing explicit pseudorandom generators that fool with error
ϵ degree-d polynomials in n variables over the field F q, in the case of large q. Previous …

Polynomial identity testing for low degree polynomials with optimal randomness

M Bläser, A Pandey - Approximation, Randomization, and …, 2020 - drops.dagstuhl.de
Polynomial Identity Testing for Low Degree Polynomials with Optimal Randomness Page 1
Polynomial Identity Testing for Low Degree Polynomials with Optimal Randomness Markus …

Improved bounds for quantified derandomization of constant-depth circuits and polynomials

R Tell - computational complexity, 2019 - Springer
This work studies the question of quantified derandomization, which was introduced by
Goldreich and Wigderson (STOC 2014). The generic quantified derandomization problem is …

Variety evasive subspace families

Z Guo - computational complexity, 2024 - Springer
We introduce the problem of constructing explicit variety evasive subspace families. Given a
family F of subvarieties of a projective or affine space, a collection H of projective or affine k …

Optimal Pseudorandom Generators for Low-Degree Polynomials Over Moderately Large Fields

A Dwivedi, Z Guo, BL Volk - arxiv preprint arxiv:2402.11915, 2024 - arxiv.org
We construct explicit pseudorandom generators that fool $ n $-variate polynomials of degree
at most $ d $ over a finite field $\mathbb {F} _q $. The seed length of our generators is $ O …

Hitting sets for low-degree polynomials with optimal density

V Guruswami, C **ng - 2014 IEEE 29th Conference on …, 2014 - ieeexplore.ieee.org
We give a length-efficient puncturing of Reed-Muller codes which preserves its distance
properties. Formally, for the Reed-Muller code encoding n-variate degree-d polynomials …

Efficiently list-decodable punctured Reed-Muller codes

V Guruswami, L **, C **ng - IEEE Transactions on Information …, 2017 - ieeexplore.ieee.org
The Reed-Muller (RM) code, encoding n-variate degree-d polynomials over F q for d<; q,
with its evaluation on F qn, has a relative distance 1-d/q and can be list decoded from a 1-O …

On Hitting-Set Generators for Polynomials that Vanish Rarely

D Doron, A Ta-Shma, R Tell - computational complexity, 2022 - Springer
The problem of constructing pseudorandom generators for polynomials of low degree is
fundamental in complexity theory and has numerous well-known applications. We study the …