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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

SMERED: A Bayesian Approach to Graphical Record Linkage and De-duplication AISTATS 2014
Bayesian Nonlinear Support Vector Machines and Discriminative Factor Modeling NIPS 2014
Distributed Bayesian Posterior Sampling via Moment Sharing NIPS 2014
Bayesian Inference and Learning in Gaussian Process State-Space Models with Particle MCMC NIPS 2013
Smooth Operators ICML 2013
Fast Dual Variational Inference for Non-Conjugate Latent Gaussian Models ICML 2013
Message passing with l1 penalized KL minimization ICML 2013
Exploring the Mind: Integrating Questionnaires and fMRI ICML 2013
Adaptive Sparsity in Gaussian Graphical Models ICML 2013
The Extended Parameter Filter ICML 2013
Dynamic Covariance Models for Multivariate Financial Time Series ICML 2013
Bayesian Learning of Recursively Factored Environments ICML 2013
Generalized Spike-and-Slab Priors for Bayesian Group Feature Selection Using Expectation Propagation JMLR 2013
Nested Expectation Propagation for Gaussian Process Classification with a Multinomial Probit Likelihood JMLR 2013
Collapsed Variational Bayesian Inference for Hidden Markov Models AISTATS 2013
Bayesian Structure Learning for Functional Neuroimaging AISTATS 2013
Efficient Variational Inference for Gaussian Process Regression Networks AISTATS 2013
Dynamic Scaled Sampling for Deterministic Constraints AISTATS 2013
Efficiently Sampling Probabilistic Programs via Program Analysis AISTATS 2013
Further Optimal Regret Bounds for Thompson Sampling AISTATS 2013
Bayesian learning of joint distributions of objects AISTATS 2013
Approximate Bayesian Image Interpretation using Generative Probabilistic Graphics Programs NIPS 2013
Summary Statistics for Partitionings and Feature Allocations NIPS 2013
Parallel Sampling of DP Mixture Models using Sub-Cluster Splits NIPS 2013
Multiscale Dictionary Learning for Estimating Conditional Distributions NIPS 2013