Probabilistic Modeling

A probabilistic model for generating realistic lip movements from speech NeurIPS 2007 Bayesian binning beats approximate alternatives: estimating peri-stimulus time histograms NeurIPS 2007 Bayesian Inference for Spiking Neuron Models with a Sparsity Prior NeurIPS 2007 Collapsed Variational Inference for HDP NeurIPS 2007 Collective Inference on Markov Models for Modeling Bird Migration NeurIPS 2007 Comparing Bayesian models for multisensory cue combination without mandatory integration NeurIPS 2007 Continuous Time Particle Filtering for fMRI NeurIPS 2007 Convex Clustering with Exemplar-Based Models 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 Efficient Bayesian Inference for Dynamically Changing Graphs NeurIPS 2007 Efficient Inference for Distributions on Permutations 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 Variational Inference for Large-scale Internet Diagnosis 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 Infinite State Bayes-Nets for Structured Domains NeurIPS 2007 Integrating Naïve Bayes and FOIL JMLR 2007