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Graphical Models

933 directly classified papers

Papers per year

Papers

Learning unbelievable probabilities NIPS 2011
Inferring Interaction Networks using the IBP applied to microRNA Target Prediction NIPS 2011
Empirical models of spiking in neural populations NIPS 2011
An Application of Tree-Structured Expectation Propagation for Channel Decoding NIPS 2011
Message-Passing for Approximate MAP Inference with Latent Variables NIPS 2011
Data Skeletonization via Reeb Graphs NIPS 2011
Sparse Inverse Covariance Matrix Estimation Using Quadratic Approximation NIPS 2011
Structure Learning for Optimization NIPS 2011
Two is better than one: distinct roles for familiarity and recollection in retrieving palimpsest memories NIPS 2011
Spectral Methods for Learning Multivariate Latent Tree Structure NIPS 2011
Phase transition in the family of p-resistances NIPS 2011
Mixed Cumulative Distribution Networks AISTATS 2011
Spectral Clustering on a Budget AISTATS 2011
Fast Convergent Algorithms for Expectation Propagation Approximate Bayesian Inference AISTATS 2011
Maximal Cliques that Satisfy Hard Constraints with Application to Deformable Object Model Learning NIPS 2011
Inductive reasoning about chimeric creatures NIPS 2011
High-Dimensional Graphical Model Selection: Tractable Graph Families and Necessary Conditions NIPS 2011
Neural Reconstruction with Approximate Message Passing (NeuRAMP) NIPS 2011
Regularized Laplacian Estimation and Fast Eigenvector Approximation NIPS 2011
Learning Higher-Order Graph Structure with Features by Structure Penalty NIPS 2011
Mapping Kernels Defined Over Countably Infinite Mapping Systems and their Application ACML 2011
Stability Approach to Regularization Selection (StARS) for High Dimensional Graphical Models NIPS 2010
Getting lost in space: Large sample analysis of the resistance distance NIPS 2010
Identifying graph-structured activation patterns in networks NIPS 2010
Structured Determinantal Point Processes NIPS 2010