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Bayesian Learning

455 papers

Papers per year

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11
42
10
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Papers

Bayesian structure discovery in Bayesian networks with less space AISTATS 2010
Infinite Predictor Subspace Models for Multitask Learning AISTATS 2010
Multi-Task Learning using Generalized t Process AISTATS 2010
Bayesian Generalized Kernel Models AISTATS 2010
Matrix-Variate Dirichlet Process Mixture Models AISTATS 2010
Multi-Label Prediction via Sparse Infinite CCA NIPS 2009
Nonparametric Bayesian Models for Unsupervised Event Coreference Resolution NIPS 2009
Sparse Estimation Using General Likelihoods and Non-Factorial Priors NIPS 2009
Modeling the spacing effect in sequential category learning NIPS 2009
An Infinite Factor Model Hierarchy Via a Noisy-Or Mechanism NIPS 2009
Nonparametric Latent Feature Models for Link Prediction NIPS 2009
Sharing Features among Dynamical Systems with Beta Processes NIPS 2009
Bayesian Nonparametric Models on Decomposable Graphs NIPS 2009
Sequential effects reflect parallel learning of multiple environmental regularities NIPS 2009
Modelling Relational Data using Bayesian Clustered Tensor Factorization NIPS 2009
Hierarchical Learning of Dimensional Biases in Human Categorization NIPS 2009
Construction of Nonparametric Bayesian Models from Parametric Bayes Equations NIPS 2009
Variational Inference for the Nested Chinese Restaurant Process NIPS 2009
Non-Parametric Bayesian Dictionary Learning for Sparse Image Representations NIPS 2009
Indian Buffet Processes with Power-law Behavior NIPS 2009
Nonparametric Bayesian Texture Learning and Synthesis NIPS 2009
A Bayesian Model for Simultaneous Image Clustering, Annotation and Object Segmentation NIPS 2009
Generalization Errors and Learning Curves for Regression with Multi-task Gaussian Processes NIPS 2009
Modeling human function learning with Gaussian processes NIPS 2008
Hierarchical Fisher Kernels for Longitudinal Data NIPS 2008