R Gheissari, A Sinclair - Random Structures & Algorithms, 2024 - Wiley Online Library
An important paradigm in the understanding of mixing times of Glauber dynamics for spin systems is the correspondence between spatial mixing properties of the models and bounds …
R Gheissari, A Sinclair - Proceedings of the 54th Annual ACM SIGACT …, 2022 - dl.acm.org
Glauber dynamics on spin systems are well known to suffer exponential slowdowns at low temperatures due to the emergence of multiple metastable phases, separated by narrow …
A Blanca, R Gheissari - Communications in Mathematical Physics, 2021 - Springer
We establish rapid mixing of the random-cluster Glauber dynamics on random\varDelta Δ- regular graphs for all q ≥ 1 q≥ 1 and p< p_u (q,\varDelta) p< pu (q, Δ), where the threshold …
A Blanca, A Sinclair, X Zhang - Combinatorics, Probability and …, 2022 - cambridge.org
The random-cluster model is a unifying framework for studying random graphs, spin systems and electrical networks that plays a fundamental role in designing efficient Markov Chain …
Abstract The Swendsen–Wang algorithm is a sophisticated, widely‐used Markov chain for sampling from the Gibbs distribution for the ferromagnetic Ising and Potts models. This chain …
The computational complexity of pairwise energy minimisation of N points in real space is a long-standing open problem. The idea of the potential intractability of the problem was …
A Blanca, R Gheissari - Probability Theory and Related Fields, 2024 - Springer
Sampling from the q-state ferromagnetic Potts model is a fundamental question in statistical physics, probability theory, and theoretical computer science. On general graphs, this …
Sampling from the $ q $-state ferromagnetic Potts model is a fundamental question in statistical physics, probability theory, and theoretical computer science. On general graphs …
A Blanca, R Gheissari - The Annals of Applied Probability, 2023 - projecteuclid.org
We consider the problem of sampling from the ferromagnetic Potts and random-cluster models on a general family of random graphs via the Glauber dynamics for the random …