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Spectral independence in high-dimensional expanders and applications to the hardcore model
We say a probability distribution μ is spectrally independent if an associated pairwise
influence matrix has a bounded largest eigenvalue for the distribution and all of its …
influence matrix has a bounded largest eigenvalue for the distribution and all of its …
Algorithms for# BIS-hard problems on expander graphs
We give a fully polynomial-time approximation scheme (FPTAS) and an efficient sampling
algorithm for the high-fugacity hard-core model on bounded-degree bipartite expander …
algorithm for the high-fugacity hard-core model on bounded-degree bipartite expander …
Rapid mixing of Glauber dynamics via spectral independence for all degrees
We prove an optimal lower bound on a spectral gap of the Glauber dynamics for
antiferromagnetic two-spin systems with vertices in the tree uniqueness regime. This …
antiferromagnetic two-spin systems with vertices in the tree uniqueness regime. This …
Optimal mixing for two-state anti-ferromagnetic spin systems
We prove an optimal Ω(n^-1) lower bound for modified \log-Sobolev (MLS) constant of the
Glauber dynamics for anti-ferromagnetic two-spin systems with n vertices in the tree …
Glauber dynamics for anti-ferromagnetic two-spin systems with n vertices in the tree …
Improved bounds for randomly sampling colorings via linear programming
A well-known conjecture in computer science and statistical physics is that Glauber
dynamics on the set of k-colorings of a graph G on n vertices with maximum degree Δ is …
dynamics on the set of k-colorings of a graph G on n vertices with maximum degree Δ is …
Fast algorithms at low temperatures via Markov chains
Efficient algorithms for approximate counting and sampling in spin systems typically apply in
the so‐called high‐temperature regime, where the interaction between neighboring spins is …
the so‐called high‐temperature regime, where the interaction between neighboring spins is …
Complexity results for MCMC derived from quantitative bounds
J Yang, JS Rosenthal - The Annals of Applied Probability, 2023 - projecteuclid.org
This paper considers how to obtain MCMC quantitative convergence bounds which can be
translated into tight complexity bounds in high-dimensional settings. We propose a modified …
translated into tight complexity bounds in high-dimensional settings. We propose a modified …
The Ising partition function: Zeros and deterministic approximation
J Liu, A Sinclair, P Srivastava - Journal of Statistical Physics, 2019 - Springer
We study the problem of approximating the partition function of the ferromagnetic Ising
model with both pairwise as well as higher order interactions (equivalently, in graphs as well …
model with both pairwise as well as higher order interactions (equivalently, in graphs as well …
Entropic independence ii: optimal sampling and concentration via restricted modified log-Sobolev inequalities
We introduce a framework for obtaining tight mixing times for Markov chains based on what
we call restricted modified log-Sobolev inequalities. Modified log-Sobolev inequalities …
we call restricted modified log-Sobolev inequalities. Modified log-Sobolev inequalities …
Fast Sampling and Counting k-SAT Solutions in the Local Lemma Regime
We give new algorithms based on Markov chains to sample and approximately count
satisfying assignments to k-uniform CNF formulas where each variable appears at most d …
satisfying assignments to k-uniform CNF formulas where each variable appears at most d …