Bayesian Inference

A Neural Implementation of the Kalman Filter NeurIPS 2009 Approximating MAP by Compensating for Structural Relaxations NeurIPS 2009 A Stochastic approximation method for inference in probabilistic graphical models NeurIPS 2009 Bayesian Belief Polarization NeurIPS 2009 Bayesian estimation of orientation preference maps NeurIPS 2009 Bayesian Nonparametric Models on Decomposable Graphs NeurIPS 2009 Bayesian Source Localization with the Multivariate Laplace Prior NeurIPS 2009 Bayesian Sparse Factor Models and DAGs Inference and Comparison NeurIPS 2009 Exponential Family Graph Matching and Ranking NeurIPS 2009 Help or Hinder: Bayesian Models of Social Goal Inference NeurIPS 2009 Indian Buffet Processes with Power-law Behavior NeurIPS 2009 Individuation, Identification and Object Discovery 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 models of object structure NeurIPS 2009 Learning with Compressible Priors NeurIPS 2009 Linearly constrained Bayesian matrix factorization for blind source separation NeurIPS 2009 Localizing Bugs in Program Executions with Graphical Models NeurIPS 2009 Measuring model complexity with the prior predictive 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 Non-Parametric Bayesian Dictionary Learning for Sparse Image Representations NeurIPS 2009 Nonparametric Latent Feature Models for Link Prediction NeurIPS 2009 Non-stationary continuous dynamic Bayesian networks NeurIPS 2009