hierarchical bayesian model

The Factorized Self-Controlled Case Series Method: An Approach for Estimating the Effects of Many Drugs on Many Outcomes JMLR 2016 Multi-Feature Max-Margin Hierarchical Bayesian Model for Action Recognition CVPR 2015 Effective Bayesian Modeling of Groups of Related Count Time Series ICML 2014 Semi-Separable Hamiltonian Monte Carlo for Inference in Bayesian Hierarchical Models NeurIPS 2014 Sparse Bayesian Variable Selection for the Identification of Antigenic Variability in the Foot-and-Mouth Disease Virus AISTATS 2014 Adaptive Sparsity in Gaussian Graphical Models ICML 2013 Language-Motivated Approaches to Action Recognition JMLR 2013 One-shot learning by inverting a compositional causal process NeurIPS 2013 A Topic Modeling Toolbox Using Belief Propagation JMLR 2012 Learning to Learn with Compound HD Models NeurIPS 2011 Categories and Functional Units: An Infinite Hierarchical Model for Brain Activations NeurIPS 2010 Learning the context of a category NeurIPS 2010 Hierarchical Learning of Dimensional Biases in Human Categorization NeurIPS 2009 A spatially varying two-sample recombinant coalescent, with applications to HIV escape response NeurIPS 2008 Hierarchical Fisher Kernels for Longitudinal Data NeurIPS 2008 Stochastic Relational Models for Large-scale Dyadic Data using MCMC NeurIPS 2008 Distributed Inference for Latent Dirichlet Allocation NeurIPS 2007 Regulator Discovery from Gene Expression Time Series of Malaria Parasites: a Hierachical Approach NeurIPS 2007 Bayesian Detection of Infrequent Differences in Sets of Time Series with Shared Structure NeurIPS 2006 Dirichlet-Enhanced Spam Filtering based on Biased Samples NeurIPS 2006 Latent Dirichlet Allocation JMLR 2003