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Bayesian Learning

1,663 papers

Papers per year

2
48
52
137
36
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Papers

Collaborative Gaussian Processes for Preference Learning NIPS 2012
Fully Bayesian inference for neural models with negative-binomial spiking NIPS 2012
Effective Split-Merge Monte Carlo Methods for Nonparametric Models of Sequential Data NIPS 2012
The Time-Marginalized Coalescent Prior for Hierarchical Clustering NIPS 2012
Nonparametric Max-Margin Matrix Factorization for Collaborative Prediction NIPS 2012
Multiplicative Forests for Continuous-Time Processes NIPS 2012
Bayesian Warped Gaussian Processes NIPS 2012
Affine Independent Variational Inference NIPS 2012
Entangled Monte Carlo NIPS 2012
Learning curves for multi-task Gaussian process regression NIPS 2012
Random function priors for exchangeable arrays with applications to graphs and relational data NIPS 2012
Bayesian Pedigree Analysis using Measure Factorization NIPS 2012
Multilabel Classification using Bayesian Compressed Sensing NIPS 2012
Expectation Propagation in Gaussian Process Dynamical Systems NIPS 2012
Fast Bayesian Inference for Non-Conjugate Gaussian Process Regression NIPS 2012
Efficient coding provides a direct link between prior and likelihood in perceptual Bayesian inference NIPS 2012
Bayesian regularization of non-homogeneous dynamic Bayesian networks by globally coupling interaction parameters AISTATS 2012
Stick-Breaking Beta Processes and the Poisson Process AISTATS 2012
Age-Layered Expectation Maximization for Parameter Learning in Bayesian Networks AISTATS 2012
Flexible Martingale Priors for Deep Hierarchies AISTATS 2012
EP-GIG Priors and Applications in Bayesian Sparse Learning JMLR 2012
Fast Weighted Exponential Product Rules for Robust General Multi-Robot Data Fusion RSS 2012
Nonparametric Bayesian Models for Unsupervised Scene Analysis and Reconstruction RSS 2012
Variational Bayesian Optimization for Runtime Risk-Sensitive Control RSS 2012
Priors over Recurrent Continuous Time Processes NIPS 2011