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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

Global seismic monitoring as probabilistic inference NIPS 2010
Functional form of motion priors in human motion perception NIPS 2010
Probabilistic Inference and Differential Privacy NIPS 2010
Copula Processes NIPS 2010
Latent Variable Models for Predicting File Dependencies in Large-Scale Software Development NIPS 2010
Gaussian sampling by local perturbations NIPS 2010
Simple Exponential Family PCA AISTATS 2010
Deterministic Bayesian inference for the $p*$ model AISTATS 2010
Improving posterior marginal approximations in latent Gaussian models AISTATS 2010
Sequential Monte Carlo Samplers for Dirichlet Process Mixtures AISTATS 2010
Bayesian Generalized Kernel Models AISTATS 2010
Multi-Task Learning using Generalized t Process AISTATS 2010
A highly efficient blocked Gibbs sampler reconstruction of multidimensional NMR spectra AISTATS 2010
Dependent Indian Buffet Processes AISTATS 2010
Active Sequential Learning with Tactile Feedback AISTATS 2010
Nonparametric prior for adaptive sparsity AISTATS 2010
Elliptical slice sampling AISTATS 2010
Posterior distributions are computable from predictive distributions AISTATS 2010
Switching state space model for simultaneously estimating state transitions and nonstationary firing rates NIPS 2010
Computing Marginal Distributions over Continuous Markov Networks for Statistical Relational Learning NIPS 2010
Optimal Bayesian Recommendation Sets and Myopically Optimal Choice Query Sets NIPS 2010
Improvements to the Sequence Memoizer NIPS 2010
Deterministic Single-Pass Algorithm for LDA NIPS 2010
A Bayesian Framework for Figure-Ground Interpretation NIPS 2010
Bayesian Action-Graph Games NIPS 2010