Probabilistic Modeling

FACTORIE: Probabilistic Programming via Imperatively Defined Factor Graphs NeurIPS 2009 Factor Modeling for Advertisement Targeting NeurIPS 2009 Free energy score space NeurIPS 2009 Graph Zeta Function in the Bethe Free Energy and Loopy Belief Propagation NeurIPS 2009 Hierarchical Learning of Dimensional Biases in Human Categorization NeurIPS 2009 Hierarchical Modeling of Local Image Features through L_p-Nested Symmetric Distributions NeurIPS 2009 Improving Existing Fault Recovery Policies NeurIPS 2009 Indian Buffet Processes with Power-law Behavior NeurIPS 2009 Inter-domain Gaussian Processes for Sparse Inference using Inducing Features NeurIPS 2009 Know Thy Neighbour: A Normative Theory of Synaptic Depression NeurIPS 2009 Large Scale Nonparametric Bayesian Inference: Data Parallelisation in the Indian Buffet Process NeurIPS 2009 Learning a Small Mixture of Trees NeurIPS 2009 Learning Brain Connectivity of Alzheimer's Disease from Neuroimaging Data NeurIPS 2009 Learning models of object structure NeurIPS 2009 Localizing Bugs in Program Executions with Graphical Models NeurIPS 2009 Local Rules for Global MAP: When Do They Work ? NeurIPS 2009 Maximum likelihood trajectories for continuous-time Markov chains NeurIPS 2009 Modeling Social Annotation Data with Content Relevance using a Topic Model NeurIPS 2009 Modeling the spacing effect in sequential category learning NeurIPS 2009 Modelling Relational Data using Bayesian Clustered Tensor Factorization NeurIPS 2009 Neural Implementation of Hierarchical Bayesian Inference by Importance Sampling NeurIPS 2009 Nonlinear directed acyclic structure learning with weakly additive noise models NeurIPS 2009 Occlusive Components Analysis NeurIPS 2009 Optimal context separation of spiking haptic signals by second-order somatosensory neurons NeurIPS 2009 Parallel Inference for Latent Dirichlet Allocation on Graphics Processing Units NeurIPS 2009