Bayesian Inference

Uniqueness of Belief Propagation on Signed Graphs NeurIPS 2011 Variational Learning for Recurrent Spiking Networks NeurIPS 2011 A Bayesian Approach to Concept Drift NeurIPS 2010 A Bayesian Framework for Figure-Ground Interpretation NeurIPS 2010 Active Sequential Learning with Tactile Feedback AISTATS 2010 A generalization of the Multiple-try Metropolis algorithm for Bayesian estimation and model selection AISTATS 2010 A highly efficient blocked Gibbs sampler reconstruction of multidimensional NMR spectra AISTATS 2010 A Markov-Chain Monte Carlo Approach to Simultaneous Localization and Mapping AISTATS 2010 An Alternative Prior Process for Nonparametric Bayesian Clustering AISTATS 2010 An Approximate Inference Approach to Temporal Optimization in Optimal Control NeurIPS 2010 An EM Algorithm on BDDs with Order Encoding for Logic-based Probabilistic Models ACML 2010 Approximate Inference by Compilation to Arithmetic Circuits NeurIPS 2010 Approximate inference in continuous time Gaussian-Jump processes NeurIPS 2010 Approximate parameter inference in a stochastic reaction-diffusion model AISTATS 2010 Approximate Riemannian Conjugate Gradient Learning for Fixed-Form Variational Bayes JMLR 2010 Approximation of hidden Markov models by mixtures of experts with application to particle filtering AISTATS 2010 A rational decision making framework for inhibitory control NeurIPS 2010 Auto-Regressive HMM Inference with Incomplete Data for Short-Horizon Wind Forecasting NeurIPS 2010 Batch Bayesian Optimization via Simulation Matching NeurIPS 2010 Bayesian Gaussian Process Latent Variable Model AISTATS 2010 Bayesian Generalized Kernel Models AISTATS 2010 Bayesian Learning in Sparse Graphical Factor Models via Variational Mean-Field Annealing JMLR 2010 Bayesian Online Learning for Multi-label and Multi-variate Performance Measures AISTATS 2010 Bayesian structure discovery in Bayesian networks with less space AISTATS 2010 Bayesian variable order Markov models AISTATS 2010