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ising model

85 papers

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Co-occurring keywords

graphical model (864) markov random field (303) structure learning (341) markov chain monte carlo (725) sample complexity (1169) combinatorial optimization (1039) partition function (81) phase transition (92) probabilistic modeling (852) belief propagation (177)

Papers

Deep Learning the Ising Model Near Criticality JMLR 2018
The Vertex Sample Complexity of Free Energy is Polynomial COLT 2018
A Screening Rule for l1-Regularized Ising Model Estimation NIPS 2017
Rapid Mixing Swendsen-Wang Sampler for Stochastic Partitioned Attractive Models AISTATS 2017
Improving Gibbs Sampler Scan Quality with DoGS ICML 2017
Annular Augmentation Sampling AISTATS 2017
Information Theoretic Properties of Markov Random Fields, and their Algorithmic Applications NIPS 2017
Removing Phase Transitions from Gibbs Measures AISTATS 2017
Concentration of Multilinear Functions of the Ising Model with Applications to Network Data NIPS 2017
Generalized Direct Change Estimation in Ising Model Structure ICML 2016
Bayesian Generalised Ensemble Markov Chain Monte Carlo AISTATS 2016
Learning Planar Ising Models JMLR 2016
Maximizing Influence in an Ising Network: A Mean-Field Optimal Solution NIPS 2016
Approximate maximum entropy principles via Goemans-Williamson with applications to provable variational methods NIPS 2016
Interaction Screening: Efficient and Sample-Optimal Learning of Ising Models NIPS 2016
How to calculate partition functions using convex programming hierarchies: provable bounds for variational methods COLT 2016
Probabilistic Label Relation Graphs With Ising Models ICCV 2015
Online Prediction at the Limit of Zero Temperature NIPS 2015
On the Information Theoretic Limits of Learning Ising Models NIPS 2014
Learning Graphs with a Few Hubs ICML 2014
Structure learning of antiferromagnetic Ising models NIPS 2014
Belief propagation, robust reconstruction and optimal recovery of block models COLT 2014
Projecting Ising Model Parameters for Fast Mixing NIPS 2013
Universal models for binary spike patterns using centered Dirichlet processes NIPS 2013
Perturbative Corrections for Approximate Inference in Gaussian Latent Variable Models JMLR 2013