Y Chen, R Eldan - 2022 IEEE 63rd Annual Symposium on …, 2022 - ieeexplore.ieee.org
Two recent and seemingly-unrelated techniques for proving mixing bounds for Markov chains are:(i) the framework of Spectral Independence, introduced by Anari, Liu and Oveis …
Z Chen, K Liu, E Vigoda - Proceedings of the 53rd Annual ACM SIGACT …, 2021 - dl.acm.org
We prove an optimal mixing time bound for the single-site update Markov chain known as the Glauber dynamics or Gibbs sampling in a variety of settings. Our work presents an …
For general spin systems, we prove that a contractive coupling for an arbitrary local Markov chain implies optimal bounds on the mixing time and the modified log-Sobolev constant for a …
We design an FPRAS to count the number of bases of any matroid given by an independent set oracle, and to estimate the partition function of the random cluster model of any matroid …
Z Chen, K Liu, E Vigoda - SIAM Journal on Computing, 2023 - SIAM
For general antiferromagnetic 2-spin systems, including the hardcore model on weighted independent sets and the antiferromagnetic Ising model, there is an for the partition function …
We introduce a notion called entropic independence that is an entropic analog of spectral notions of high-dimensional expansion. Informally, entropic independence of a background …
We extend the notion of spectral independence (introduced by Anari, Liu, and Oveis Gharan) from the Boolean domain to general discrete domains. This property characterises …
The spectral independence approach of Anari et al.(2020) utilized recent results on high- dimensional expanders of Alev and Lau (2020) and established rapid mixing of the Glauber …
We show fully polynomial time randomized approximation schemes (FPRAS) for counting matchings of a given size, or more generally sampling/counting monomer-dimer systems in …