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Graphical Models

985 papers

Papers per year

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Papers

Complexity of Bethe Approximation AISTATS 2012
Low rank continuous-space graphical models AISTATS 2012
Constrained 1-Spectral Clustering AISTATS 2012
Quilting Stochastic Kronecker Product Graphs to Generate Multiplicative Attribute Graphs AISTATS 2012
Approximate Inference in Additive Factorial HMMs with Application to Energy Disaggregation AISTATS 2012
Spectral Clustering of Graphs with General Degrees in the Extended Planted Partition Model COLT 2012
Open Problem: Learning Dynamic Network Models from a Static Snapshot COLT 2012
The huge Package for High-dimensional Undirected Graph Estimation in R JMLR 2012
Learning Higher-Order Graph Structure with Features by Structure Penalty NIPS 2011
Phase transition in the family of p-resistances NIPS 2011
Regularized Laplacian Estimation and Fast Eigenvector Approximation NIPS 2011
Spectral Methods for Learning Multivariate Latent Tree Structure NIPS 2011
Two is better than one: distinct roles for familiarity and recollection in retrieving palimpsest memories NIPS 2011
Structure Learning for Optimization NIPS 2011
Sparse Inverse Covariance Matrix Estimation Using Quadratic Approximation NIPS 2011
Neural Reconstruction with Approximate Message Passing (NeuRAMP) NIPS 2011
Data Skeletonization via Reeb Graphs NIPS 2011
High-Dimensional Graphical Model Selection: Tractable Graph Families and Necessary Conditions NIPS 2011
Message-Passing for Approximate MAP Inference with Latent Variables NIPS 2011
An Application of Tree-Structured Expectation Propagation for Channel Decoding NIPS 2011
Uniqueness of Belief Propagation on Signed Graphs NIPS 2011
Inductive reasoning about chimeric creatures NIPS 2011
Empirical models of spiking in neural populations NIPS 2011
On Learning Discrete Graphical Models using Greedy Methods NIPS 2011
Inferring Interaction Networks using the IBP applied to microRNA Target Prediction NIPS 2011