ising model

Learning Planar Ising Models JMLR 2016 Maximizing Influence in an Ising Network: A Mean-Field Optimal Solution NeurIPS 2016 Online Prediction at the Limit of Zero Temperature NeurIPS 2015 Probabilistic Label Relation Graphs With Ising Models ICCV 2015 Belief propagation, robust reconstruction and optimal recovery of block models COLT 2014 Learning Graphs with a Few Hubs ICML 2014 On the Information Theoretic Limits of Learning Ising Models NeurIPS 2014 Structure learning of antiferromagnetic Ising models NeurIPS 2014 Perturbative Corrections for Approximate Inference in Gaussian Latent Variable Models JMLR 2013 Projecting Ising Model Parameters for Fast Mixing NeurIPS 2013 Universal models for binary spike patterns using centered Dirichlet processes NeurIPS 2013 Latent Graphical Model Selection: Efficient Methods for Locally Tree-like Graphs NeurIPS 2012 On Sparse, Spectral and Other Parameterizations of Binary Probabilistic Models AISTATS 2012 High-Dimensional Graphical Model Selection: Tractable Graph Families and Necessary Conditions NeurIPS 2011 How biased are maximum entropy models? NeurIPS 2011 Identifying graph-structured activation patterns in networks NeurIPS 2010 Polynomial-Time Exact Inference in NP-Hard Binary MRFs via Reweighted Perfect Matching AISTATS 2010 Neurometric function analysis of population codes NeurIPS 2009 Which graphical models are difficult to learn? NeurIPS 2009 A Convex Upper Bound on the Log-Partition Function for Binary Distributions NeurIPS 2008 Efficient Exact Inference in Planar Ising Models NeurIPS 2008 Cooled and Relaxed Survey Propagation for MRFs NeurIPS 2007 Conditional mean field NeurIPS 2006