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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

Extending the Use of Adaptor Grammars for Unsupervised Morphological Segmentation of Unseen Languages COLING 2016
Collapsed Variational Inference for Sum-Product Networks ICML 2016
Bayesian Poisson Tucker Decomposition for Learning the Structure of International Relations ICML 2016
Slice Sampling on Hamiltonian Trajectories ICML 2016
Measuring the reliability of MCMC inference with bidirectional Monte Carlo NIPS 2016
Distributed Flexible Nonlinear Tensor Factorization NIPS 2016
Sampling for Bayesian Program Learning NIPS 2016
Biologically Inspired Dynamic Textures for Probing Motion Perception NIPS 2015
Bayesian Inference for Neighborhood Filters With Application in Denoising CVPR 2015
Reweighted Laplace Prior Based Hyperspectral Compressive Sensing for Unknown Sparsity CVPR 2015
Calibration of conditional composite likelihood for Bayesian inference on Gibbs random fields AISTATS 2015
The Bayesian Echo Chamber: Modeling Social Influence via Linguistic Accommodation AISTATS 2015
The Fundamental Incompatibility of Scalable Hamiltonian Monte Carlo and Naive Data Subsampling ICML 2015
Enabling scalable stochastic gradient-based inference for Gaussian processes by employing the Unbiased LInear System SolvEr (ULISSE) ICML 2015
Reified Context Models ICML 2015
Exponential Integration for Hamiltonian Monte Carlo ICML 2015
Optimal Regret Analysis of Thompson Sampling in Stochastic Multi-armed Bandit Problem with Multiple Plays ICML 2015
Rebuilding Factorized Information Criterion: Asymptotically Accurate Marginal Likelihood ICML 2015
A Probabilistic Model for Dirty Multi-task Feature Selection ICML 2015
Risk and Regret of Hierarchical Bayesian Learners ICML 2015
Bayesian Multiple Target Localization ICML 2015
Scalable Deep Poisson Factor Analysis for Topic Modeling ICML 2015
Unlocking neural population non-stationarities using hierarchical dynamics models NIPS 2015
Dependent Multinomial Models Made Easy: Stick-Breaking with the Polya-gamma Augmentation NIPS 2015
Bayesian dark knowledge NIPS 2015