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Bayesian Inference

1724 directly classified papers

Papers per year

Papers

An Alternative Prior Process for Nonparametric Bayesian Clustering AISTATS 2010
Dependent Indian Buffet Processes AISTATS 2010
A highly efficient blocked Gibbs sampler reconstruction of multidimensional NMR spectra AISTATS 2010
Bayesian Online Learning for Multi-label and Multi-variate Performance Measures AISTATS 2010
Bayesian Generalized Kernel Models AISTATS 2010
Bayesian Source Localization with the Multivariate Laplace Prior NIPS 2009
Bayesian estimation of orientation preference maps NIPS 2009
A Bayesian Analysis of Dynamics in Free Recall NIPS 2009
Localizing Bugs in Program Executions with Graphical Models NIPS 2009
Measuring model complexity with the prior predictive NIPS 2009
Nonparametric Bayesian Texture Learning and Synthesis NIPS 2009
A Bayesian Model for Simultaneous Image Clustering, Annotation and Object Segmentation NIPS 2009
From PAC-Bayes Bounds to KL Regularization NIPS 2009
Linearly constrained Bayesian matrix factorization for blind source separation NIPS 2009
Decoupling Sparsity and Smoothness in the Discrete Hierarchical Dirichlet Process NIPS 2009
The Wisdom of Crowds in the Recollection of Order Information NIPS 2009
Clustering sequence sets for motif discovery NIPS 2009
Help or Hinder: Bayesian Models of Social Goal Inference NIPS 2009
Learning with Compressible Priors NIPS 2009
Particle-based Variational Inference for Continuous Systems NIPS 2009
$L_1$-Penalized Robust Estimation for a Class of Inverse Problems Arising in Multiview Geometry NIPS 2009
Perceptual Multistability as Markov Chain Monte Carlo Inference NIPS 2009
Neural Implementation of Hierarchical Bayesian Inference by Importance Sampling NIPS 2009
Construction of Nonparametric Bayesian Models from Parametric Bayes Equations NIPS 2009
Parallel Inference for Latent Dirichlet Allocation on Graphics Processing Units NIPS 2009