Molkaraie, MehdiGómez, Vicenç2019-03-222019-03-222018Molkaraie M, Gómez V. Monte Carlo methods for the ferromagnetic potts model using factor graph duality. IEEE Trans Inf Theory. 2018 Jul 19;34(12):7449-64. DOI: 10.1109/TIT.2018.28575650018-9448http://hdl.handle.net/10230/36946Normal factor graph duality offers new possibilities for Monte Carlo algorithms in graphical models. Specifically, we consider the problem of estimating the partition function of the ferromagnetic Ising and Potts models by Monte Carlo methods, which are known to work well at high temperatures but to fail at low temperatures. We propose Monte Carlo methods (uniform sampling and importance sampling) in the dual normal factor graph and demonstrate that they behave differently: they work particularly well at low temperatures. By comparing the relative error in estimating the partition function, we show that the proposed importance sampling algorithm significantly outperforms the state-of-the-art deterministic and Monte Carlo methods. For the ferromagnetic Ising model in an external field, we show the equivalence between the valid configurations in the dual normal factor graph and the terms that appear in the high-temperature series expansion of the partition function. Following this result, we discuss connections with Jerrum-Sinclair's polynomial randomized approximation scheme (the subgraphs-world process) for evaluating the partition function of ferromagnetic Ising models.application/pdfeng© 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The final published article can be found at https://dx.doi.org/10.1109/TIT.2018.2857565Monte Carlo methods for the ferromagnetic potts model using factor graph dualityinfo:eu-repo/semantics/articlehttp://dx.doi.org/10.1109/TIT.2018.2857565Potts modelIsing modelNormal factor graphPartition functionDual normal factor graphMonte Carlo methodsLow-temperature regimeFerromagnetismHigh-temperature series expansionSubgraphs-world processinfo:eu-repo/semantics/openAccess