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nonparametric bayesian

124 papers

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Also known as

BNP NPB

Co-occurring keywords

bayesian nonparametrics (175) bayesian inference (1904) dirichlet process (132) gaussian process (1198) variational inference (2069) indian buffet process (40) bayesian nonparametric (137) markov chain monte carlo (724) gibbs sampling (201) hierarchical dirichlet process (49)

Papers

Truly Nonparametric Online Variational Inference for Hierarchical Dirichlet Processes NIPS 2012
Nonparametric Bayesian Inverse Reinforcement Learning for Multiple Reward Functions NIPS 2012
A Nonparametric Bayesian Model for Multiple Clustering with Overlapping Feature Views AISTATS 2012
From Deformations to Parts: Motion-based Segmentation of 3D Objects NIPS 2012
Online Learning of a Dirichlet Process Mixture of Generalized Dirichlet Distributions for Simultaneous Clustering and Localized Feature Selection ACML 2012
An Autoregressive Approach to Nonparametric Hierarchical Dependent Modeling AISTATS 2012
Inferring Interaction Networks using the IBP applied to microRNA Target Prediction NIPS 2011
Hierarchical Topic Modeling for Analysis of Time-Evolving Personal Choices NIPS 2011
Spatial distance dependent Chinese restaurant processes for image segmentation NIPS 2011
On the Analysis of Multi-Channel Neural Spike Data NIPS 2011
The Kernel Beta Process NIPS 2011
Information Rates of Nonparametric Gaussian Process Methods JMLR 2011
The Doubly Correlated Nonparametric Topic Model NIPS 2011
Multiscale Community Blockmodel for Network Exploration AISTATS 2011
Spectral Chinese Restaurant Processes: Nonparametric Clustering Based on Similarities AISTATS 2011
An ideal observer model for identifying the reference frame of objects NIPS 2011
Gaussian process modulated renewal processes NIPS 2011
Infinite Latent SVM for Classification and Multi-task Learning NIPS 2011
Nonparametric Bayesian Matrix Factorization by Power-EP AISTATS 2010
An Alternative Prior Process for Nonparametric Bayesian Clustering AISTATS 2010
Infinite Predictor Subspace Models for Multitask Learning AISTATS 2010
Learning the Structure of Deep Sparse Graphical Models AISTATS 2010
Learning invariant features using the Transformed Indian Buffet Process NIPS 2010
Nonparametric Bayesian Policy Priors for Reinforcement Learning NIPS 2010
Categories and Functional Units: An Infinite Hierarchical Model for Brain Activations NIPS 2010