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bayesian inference

1904 papers

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Also known as

MCMC MBR BI BVMM MAP

Co-occurring keywords

variational inference (2069) markov chain monte carlo (724) gaussian process (1198) probabilistic modeling (851) uncertainty quantification (1365) posterior distribution (259) bayesian learning (185) gibbs sampling (201) graphical model (863) probabilistic model (476)

Papers

Construction of Dependent Dirichlet Processes based on Poisson Processes NIPS 2010
Model Selection: Beyond the Bayesian/Frequentist Divide JMLR 2010
Image Denoising with Kernels Based on Natural Image Relations JMLR 2010
Measuring model complexity with the prior predictive 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
Nonparametric Latent Feature Models for Link Prediction NIPS 2009
The Wisdom of Crowds in the Recollection of Order Information NIPS 2009
Neural Implementation of Hierarchical Bayesian Inference by Importance Sampling NIPS 2009
Explaining human multiple object tracking as resource-constrained approximate inference in a dynamic probabilistic model NIPS 2009
Know Thy Neighbour: A Normative Theory of Synaptic Depression NIPS 2009
Improving Existing Fault Recovery Policies NIPS 2009
Construction of Nonparametric Bayesian Models from Parametric Bayes Equations NIPS 2009
Accelerating Bayesian Structural Inference for Non-Decomposable Gaussian Graphical Models NIPS 2009
Bayesian Source Localization with the Multivariate Laplace Prior NIPS 2009
Distributed Algorithms for Topic Models JMLR 2009
An Algorithm for Reading Dependencies from the Minimal Undirected Independence Map of a Graphoid that Satisfies Weak Transitivity JMLR 2009
The Hidden Life of Latent Variables: Bayesian Learning with Mixed Graph Models JMLR 2009
A Parameter-Free Classification Method for Large Scale Learning JMLR 2009
Marginal Likelihood Integrals for Mixtures of Independence Models JMLR 2009
Perturbation Corrections in Approximate Inference: Mixture Modelling Applications JMLR 2009
A Bayesian Model for Simultaneous Image Clustering, Annotation and Object Segmentation NIPS 2009
Localizing Bugs in Program Executions with Graphical Models NIPS 2009
A Bayesian Analysis of Dynamics in Free Recall NIPS 2009
Bayesian estimation of orientation preference maps NIPS 2009