Probabilistic Modeling

Exponential Family Predictive Representations of State NeurIPS 2007 Fast Variational Inference for Large-scale Internet Diagnosis NeurIPS 2007 Fixing Max-Product: Convergent Message Passing Algorithms for MAP LP-Relaxations NeurIPS 2007 GRIFT: A graphical model for inferring visual classification features from human data NeurIPS 2007 Hidden Common Cause Relations in Relational Learning NeurIPS 2007 Inferring Elapsed Time from Stochastic Neural Processes NeurIPS 2007 Infinite State Bayes-Nets for Structured Domains NeurIPS 2007 Integrating Naïve Bayes and FOIL JMLR 2007 Learning Horizontal Connections in a Sparse Coding Model of Natural Images NeurIPS 2007 Learning with Tree-Averaged Densities and Distributions NeurIPS 2007 Loop Corrections for Approximate Inference on Factor Graphs JMLR 2007 Loop Series and Bethe Variational Bounds in Attractive Graphical Models NeurIPS 2007 Markov Chain Monte Carlo with People NeurIPS 2007 Message Passing for Max-weight Independent Set NeurIPS 2007 Modeling homophily and stochastic equivalence in symmetric relational data NeurIPS 2007 Modeling image patches with a directed hierarchy of Markov random fields NeurIPS 2007 Multi-task Gaussian Process Prediction NeurIPS 2007 Near-Maximum Entropy Models for Binary Neural Representations of Natural Images NeurIPS 2007 Neural characterization in partially observed populations of spiking neurons NeurIPS 2007 New Outer Bounds on the Marginal Polytope NeurIPS 2007 Non-parametric Modeling of Partially Ranked Data NeurIPS 2007 Object Recognition by Scene Alignment NeurIPS 2007 Predictive Matrix-Variate t Models NeurIPS 2007 Probabilistic Matrix Factorization NeurIPS 2007 Regulator Discovery from Gene Expression Time Series of Malaria Parasites: a Hierachical Approach NeurIPS 2007