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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

Fast Near-GRID Gaussian Process Regression AISTATS 2013
Evidence Estimation for Bayesian Partially Observed MRFs AISTATS 2013
Reconstructing ecological networks with hierarchical Bayesian regression and Mondrian processes AISTATS 2013
Kernelized Bayesian Matrix Factorization ICML 2013
Top-down particle filtering for Bayesian decision trees ICML 2013
Thompson Sampling for Contextual Bandits with Linear Payoffs ICML 2013
Gaussian Process Vine Copulas for Multivariate Dependence ICML 2013
Optimal integration of visual speed across different spatiotemporal frequency channels NIPS 2013
On the Complexity and Approximation of Binary Evidence in Lifted Inference NIPS 2013
Generalized Random Utility Models with Multiple Types NIPS 2013
Spike train entropy-rate estimation using hierarchical Dirichlet process priors NIPS 2013
Reciprocally Coupled Local Estimators Implement Bayesian Information Integration Distributively NIPS 2013
Machine Teaching for Bayesian Learners in the Exponential Family NIPS 2013
A simple example of Dirichlet process mixture inconsistency for the number of components NIPS 2013
Locally Adaptive Bayesian Multivariate Time Series NIPS 2013
Flexible sampling of discrete data correlations without the marginal distributions NIPS 2013
Thompson Sampling for 1-Dimensional Exponential Family Bandits NIPS 2013
Bayesian Estimation of Latently-grouped Parameters in Undirected Graphical Models NIPS 2013
Factorized Asymptotic Bayesian Inference for Latent Feature Models NIPS 2013
Bayesian Mixture Modelling and Inference based Thompson Sampling in Monte-Carlo Tree Search NIPS 2013
Universal models for binary spike patterns using centered Dirichlet processes NIPS 2013
Non-Uniform Camera Shake Removal Using a Spatially-Adaptive Sparse Penalty NIPS 2013
Gaussian Process Conditional Copulas with Applications to Financial Time Series NIPS 2013
Low-rank matrix reconstruction and clustering via approximate message passing NIPS 2013
It is all in the noise: Efficient multi-task Gaussian process inference with structured residuals NIPS 2013