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Graphical Models

985 papers

Papers per year

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Papers

Scalable Inference of Overlapping Communities NIPS 2012
Learning Networks of Heterogeneous Influence NIPS 2012
Learning the Dependency Structure of Latent Factors NIPS 2012
Random function priors for exchangeable arrays with applications to graphs and relational data NIPS 2012
Bayesian Pedigree Analysis using Measure Factorization NIPS 2012
Density Propagation and Improved Bounds on the Partition Function NIPS 2012
Online Sum-Product Computation Over Trees NIPS 2012
Iterative Thresholding Algorithm for Sparse Inverse Covariance Estimation NIPS 2012
Globally Convergent Dual MAP LP Relaxation Solvers using Fenchel-Young Margins NIPS 2012
Learning the Architecture of Sum-Product Networks Using Clustering on Variables NIPS 2012
Discriminative Mixtures of Sparse Latent Fields for Risk Management AISTATS 2012
Memory-efficient inference in dynamic graphical models using multiple cores AISTATS 2012
Graphlet decomposition of a weighted network AISTATS 2012
On Sparse, Spectral and Other Parameterizations of Binary Probabilistic Models AISTATS 2012
Copula Network Classifiers (CNCs) AISTATS 2012
Lightning-speed Structure Learning of Nonlinear Continuous Networks AISTATS 2012
Semiparametric Pseudo-Likelihood Estimation in Markov Random Fields AISTATS 2012
Variable Selection for Gaussian Graphical Models AISTATS 2012
High-dimensional Sparse Inverse Covariance Estimation using Greedy Methods AISTATS 2012
High-Dimensional Structured Feature Screening Using Binary Markov Random Fields AISTATS 2012
Globally Optimizing Graph Partitioning Problems Using Message Passing AISTATS 2012
Approximate Inference by Intersecting Semidefinite Bound and Local Polytope AISTATS 2012
Learning Low-order Models for Enforcing High-order Statistics AISTATS 2012
Markov Logic Mixtures of Gaussian Processes: Towards Machines Reading Regression Data AISTATS 2012
Sparsistency of the Edge Lasso over Graphs AISTATS 2012