Bayesian & Probabilistic

Extended Bayesian Information Criteria for Gaussian Graphical Models NeurIPS 2010 FastInf: An Efficient Approximate Inference Library JMLR 2010 Fast Large-scale Mixture Modeling with Component-specific Data Partitions NeurIPS 2010 Focused Belief Propagation for Query-Specific Inference AISTATS 2010 Functional form of motion priors in human motion perception NeurIPS 2010 Gated Softmax Classification NeurIPS 2010 Gaussian Processes for Machine Learning (GPML) Toolbox JMLR 2010 Gaussian processes with monotonicity information AISTATS 2010 Gaussian Process Preference Elicitation NeurIPS 2010 Gaussian sampling by local perturbations NeurIPS 2010 Generating more realistic images using gated MRF's NeurIPS 2010 Global Analytic Solution for Variational Bayesian Matrix Factorization NeurIPS 2010 Global seismic monitoring as probabilistic inference NeurIPS 2010 Group Sparse Coding with a Laplacian Scale Mixture Prior NeurIPS 2010 Heavy-Tailed Process Priors for Selective Shrinkage NeurIPS 2010 Hierarchical Gaussian Process Regression ACML 2010 HOP-MAP: Efficient Message Passing with High Order Potentials AISTATS 2010 Identifying graph-structured activation patterns in networks NeurIPS 2010 Implicit Differentiation by Perturbation NeurIPS 2010 Implicit encoding of prior probabilities in optimal neural populations NeurIPS 2010 Implicitly Constrained Gaussian Process Regression for Monocular Non-Rigid Pose Estimation NeurIPS 2010 Importance Sampling for Continuous Time Bayesian Networks JMLR 2010 Improvements to the Sequence Memoizer NeurIPS 2010 Improving posterior marginal approximations in latent Gaussian models AISTATS 2010 Inference and Learning in Networks of Queues AISTATS 2010