Bayesian Inference

Relevance Topic Model for Unstructured Social Group Activity Recognition NeurIPS 2013 Restricting exchangeable nonparametric distributions NeurIPS 2013 Scalable Inference for Logistic-Normal Topic Models NeurIPS 2013 Scaling Multidimensional Gaussian Processes using Projected Additive Approximations ICML 2013 Scaling the Indian Buffet Process via Submodular Maximization ICML 2013 Scene Parsing by Integrating Function, Geometry and Appearance Models CVPR 2013 Sensor Selection in High-Dimensional Gaussian Trees with Nuisances NeurIPS 2013 Sequential Bayesian Model Update under Structured Scene Prior for Semantic Road Scenes Labeling ICCV 2013 Sequential Bayesian Search ICML 2013 Slice Sampling Particle Belief Propagation ICCV 2013 Small-Variance Asymptotics for Hidden Markov Models NeurIPS 2013 Smooth Operators ICML 2013 Sparse Adaptive Dirichlet-Multinomial-like Processes COLT 2013 Sparse Gaussian Conditional Random Fields: Algorithms, Theory, and Application to Energy Forecasting ICML 2013 Sparse Single-Index Model JMLR 2013 Spike train entropy-rate estimation using hierarchical Dirichlet process priors NeurIPS 2013 Stochastic Deconvolution CVPR 2013 Stochastic Gradient Riemannian Langevin Dynamics on the Probability Simplex NeurIPS 2013 Stochastic Variational Inference JMLR 2013 Streaming Variational Bayes NeurIPS 2013 Structural Expectation Propagation (SEP): Bayesian structure learning for networks with latent variables AISTATS 2013 Sub-Local Constraint-Based Learning of Bayesian Networks Using A Joint Dependence Criterion JMLR 2013 Subtle Topic Models and Discovering Subtly Manifested Software Concerns Automatically ICML 2013 Summary Statistics for Partitionings and Feature Allocations NeurIPS 2013 The Most Generative Maximum Margin Bayesian Networks ICML 2013