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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

Online Bayesian Moment Matching for Topic Modeling with Unknown Number of Topics NIPS 2016
Bayesian Generalised Ensemble Markov Chain Monte Carlo AISTATS 2016
C3: Lightweight Incrementalized MCMC for Probabilistic Programs using Continuations and Callsite Caching AISTATS 2016
Deep Gaussian Processes for Regression using Approximate Expectation Propagation ICML 2016
Situated Language Understanding with Human-like and Visualization-Based Transparency RSS 2016
Regret Analysis of the Finite-Horizon Gittins Index Strategy for Multi-Armed Bandits COLT 2016
Learning under uncertainty: a comparison between R-W and Bayesian approach NIPS 2016
A Probabilistic Framework for Deep Learning NIPS 2016
Regime Aware Learning PGM 2016
Joint Bayesian Modelling of Internal Dependencies and Relevant Multimorbidities of a Heterogeneous Disease PGM 2016
A Bayesian method for reducing bias in neural representational similarity analysis NIPS 2016
An Empirical-Bayes Score for Discrete Bayesian Networks PGM 2016
Learning Tractable Multidimensional Bayesian Network Classifiers PGM 2016
Priors for Speaker Counting and Diarization with AHC INTERSPEECH 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning ICML 2016
Estimating Accuracy from Unlabeled Data: A Bayesian Approach ICML 2016
A Bayesian model for joint word alignment and part-of-speech transfer COLING 2016
Stochastic Quasi-Newton Langevin Monte Carlo ICML 2016
Bayesian Graphical Models for Multivariate Functional Data JMLR 2016
Bayesian group factor analysis with structured sparsity JMLR 2016
Scalable Discrete Sampling as a Multi-Armed Bandit Problem ICML 2016
Scalable Approximate Bayesian Inference for Outlier Detection under Informative Sampling JMLR 2016
Online Trans-dimensional von Mises-Fisher Mixture Models for User Profiles JMLR 2016
Exact Inference on Conditional Linear Γ-Gaussian Bayesian Networks PGM 2016
The Parameterized Complexity of Approximate Inference in Bayesian Networks PGM 2016