bayesian nonparametrics

Bayesian Partitioning of Large-Scale Distance Data NeurIPS 2011 Discussion of “The Discrete Infinite Logistic Normal Distribution for Mixed-Membership Modeling” AISTATS 2011 Distance Dependent Chinese Restaurant Processes JMLR 2011 Hierarchical Topic Modeling for Analysis of Time-Evolving Personal Choices NeurIPS 2011 Inferring Interaction Networks using the IBP applied to microRNA Target Prediction NeurIPS 2011 Infinite Latent SVM for Classification and Multi-task Learning NeurIPS 2011 Modelling Genetic Variations using Fragmentation-Coagulation Processes NeurIPS 2011 Multiscale Community Blockmodel for Network Exploration AISTATS 2011 Online Variational Inference for the Hierarchical Dirichlet Process AISTATS 2011 Spatial distance dependent Chinese restaurant processes for image segmentation NeurIPS 2011 The Discrete Infinite Logistic Normal Distribution for Mixed-Membership Modeling AISTATS 2011 The Doubly Correlated Nonparametric Topic Model NeurIPS 2011 The Kernel Beta Process NeurIPS 2011 Construction of Dependent Dirichlet Processes based on Poisson Processes NeurIPS 2010 Dirichlet Process Mixtures of Generalized Linear Models AISTATS 2010 Improvements to the Sequence Memoizer NeurIPS 2010 Infinite Predictor Subspace Models for Multitask Learning AISTATS 2010 Infinite Relational Modeling of Functional Connectivity in Resting State fMRI NeurIPS 2010 Learning concept graphs from text with stick-breaking priors NeurIPS 2010 Learning invariant features using the Transformed Indian Buffet Process NeurIPS 2010 Learning sparse dynamic linear systems using stable spline kernels and exponential hyperpriors NeurIPS 2010 Learning the Structure of Deep Sparse Graphical Models AISTATS 2010 Matrix-Variate Dirichlet Process Mixture Models AISTATS 2010 Probabilistic Deterministic Infinite Automata NeurIPS 2010 Sequential Monte Carlo Samplers for Dirichlet Process Mixtures AISTATS 2010