mlsanityData to 14 Oct 2026

A Sampling Lov'asz Local Lemma for Large Domain Sizes

arXiv 2307.14872 ↗First posted 27 Jul 2023cs.DS math.PRcited by 2

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Abstract (arXiv)

We present polynomial-time algorithms for approximate counting and sampling solutions to constraint satisfaction problems (CSPs) with atomic constraints within the local lemma regime: pD2+oq(1)lesssim 1. When the domain size q of each variable becomes sufficiently large, this almost matches the known lower bound pD2gtrsim 1 for approximate counting and sampling solutions to atomic CSPs [Bez'akov'a et al, SICOMP '19; Galanis, Guo, Wang, TOCT '22], thus establishing an almost tight sampling Lov'asz local lemma for large domain sizes.

Key facts. Cited by 2 papers in the map (data through 14 Oct 2026). First posted on arXiv 27 Jul 2023.

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