Nonparametric Bayesian

Learning concept graphs from text with stick-breaking priors NeurIPS 2010 Learning invariant features using the Transformed Indian Buffet Process NeurIPS 2010 Nonparametric Bayesian Policy Priors for Reinforcement Learning NeurIPS 2010 Nonparametric Density Estimation for Stochastic Optimization with an Observable State Variable NeurIPS 2010 Probabilistic Deterministic Infinite Automata NeurIPS 2010 Switched Latent Force Models for Movement Segmentation NeurIPS 2010 Tree-Structured Stick Breaking for Hierarchical Data NeurIPS 2010 An Infinite Factor Model Hierarchy Via a Noisy-Or Mechanism NeurIPS 2009 Bayesian Nonparametric Models on Decomposable Graphs NeurIPS 2009 Construction of Nonparametric Bayesian Models from Parametric Bayes Equations NeurIPS 2009 Decoupling Sparsity and Smoothness in the Discrete Hierarchical Dirichlet Process NeurIPS 2009 Hierarchical Learning of Dimensional Biases in Human Categorization NeurIPS 2009 Indian Buffet Processes with Power-law Behavior NeurIPS 2009 Large Scale Nonparametric Bayesian Inference: Data Parallelisation in the Indian Buffet Process NeurIPS 2009 Modelling Relational Data using Bayesian Clustered Tensor Factorization NeurIPS 2009 Multi-Label Prediction via Sparse Infinite CCA NeurIPS 2009 Non-Parametric Bayesian Dictionary Learning for Sparse Image Representations NeurIPS 2009 Nonparametric Bayesian Models for Unsupervised Event Coreference Resolution NeurIPS 2009 Nonparametric Bayesian Texture Learning and Synthesis NeurIPS 2009 Nonparametric Latent Feature Models for Link Prediction NeurIPS 2009 Sharing Features among Dynamical Systems with Beta Processes NeurIPS 2009 Spatial Normalized Gamma Processes NeurIPS 2009 The Infinite Partially Observable Markov Decision Process NeurIPS 2009 Variational Inference for the Nested Chinese Restaurant Process NeurIPS 2009 Analyzing human feature learning as nonparametric Bayesian inference NeurIPS 2008