hierarchical bayesian

CRAFT: ClusteR-specific Assorted Feature selecTion AISTATS 2016 Dirichlet Process Mixture Model for Correcting Technical Variation in Single-Cell Gene Expression Data ICML 2016 Joint Bayesian Modelling of Internal Dependencies and Relevant Multimorbidities of a Heterogeneous Disease PGM 2016 Observational-Interventional Priors for Dose-Response Learning NeurIPS 2016 Compressive Sensing of Signals from a GMM with Sparse Precision Matrices NeurIPS 2014 Bayesian inference for low rank spatiotemporal neural receptive fields NeurIPS 2013 One-shot learning by inverting a compositional causal process NeurIPS 2013 A Topic Modeling Toolbox Using Belief Propagation JMLR 2012 Beta-Negative Binomial Process and Poisson Factor Analysis AISTATS 2012 Dependent Indian Buffet Processes AISTATS 2010 Tree-Structured Stick Breaking for Hierarchical Data NeurIPS 2010 Hierarchical Learning of Dimensional Biases in Human Categorization NeurIPS 2009 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 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