Bayesian & Probabilistic

Continuous Time Particle Filtering for fMRI NeurIPS 2007 Convex Clustering with Exemplar-Based Models NeurIPS 2007 Convex Relaxations of Latent Variable Training NeurIPS 2007 Cooled and Relaxed Survey Propagation for MRFs NeurIPS 2007 CPR for CSPs: A Probabilistic Relaxation of Constraint Propagation NeurIPS 2007 Density Estimation under Independent Similarly Distributed Sampling Assumptions NeurIPS 2007 Discovering Weakly-Interacting Factors in a Complex Stochastic Process NeurIPS 2007 Distributed Inference for Latent Dirichlet Allocation NeurIPS 2007 Efficient Bayesian Inference for Dynamically Changing Graphs NeurIPS 2007 Efficient Inference for Distributions on Permutations NeurIPS 2007 Efficient multiple hyperparameter learning for log-linear models NeurIPS 2007 Efficient Principled Learning of Thin Junction Trees NeurIPS 2007 Estimating divergence functionals and the likelihood ratio by penalized convex risk minimization NeurIPS 2007 Expectation Maximization and Posterior Constraints NeurIPS 2007 Exponential Family Predictive Representations of State NeurIPS 2007 Fast and Scalable Training of Semi-Supervised CRFs with Application to Activity Recognition NeurIPS 2007 Fast Variational Inference for Large-scale Internet Diagnosis NeurIPS 2007 Gaussian Process Models for Link Analysis and Transfer Learning NeurIPS 2007 Hidden Common Cause Relations in Relational Learning NeurIPS 2007 HM-BiTAM: Bilingual Topic Exploration, Word Alignment, and Translation NeurIPS 2007 "Ideal Parent” Structure Learning for Continuous Variable Bayesian Networks JMLR 2007 Inferring Elapsed Time from Stochastic Neural Processes NeurIPS 2007 Inferring Neural Firing Rates from Spike Trains Using Gaussian Processes NeurIPS 2007 Infinite State Bayes-Nets for Structured Domains NeurIPS 2007 Integrating Naïve Bayes and FOIL JMLR 2007