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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

A neural network implementing optimal state estimation based on dynamic spike train decoding NIPS 2007
A Bayesian Framework for Cross-Situational Word-Learning NIPS 2007
The Noisy-Logical Distribution and its Application to Causal Inference NIPS 2007
A Bayesian LDA-based model for semi-supervised part-of-speech tagging NIPS 2007
Bayesian Policy Learning with Trans-Dimensional MCMC NIPS 2007
Bayes-Adaptive POMDPs NIPS 2007
A New View of Automatic Relevance Determination NIPS 2007
Bayesian Agglomerative Clustering with Coalescents NIPS 2007
Inferring Neural Firing Rates from Spike Trains Using Gaussian Processes NIPS 2007
Markov Chain Monte Carlo with People NIPS 2007
Bayesian Co-Training NIPS 2007
The rat as particle filter NIPS 2007
Distributed Inference for Latent Dirichlet Allocation NIPS 2007
A Probabilistic Approach to Language Change NIPS 2007
Sequential Hypothesis Testing under Stochastic Deadlines NIPS 2007
TrueSkill Through Time: Revisiting the History of Chess NIPS 2007
The Generalized FITC Approximation NIPS 2007
Comparing Bayesian models for multisensory cue combination without mandatory integration NIPS 2007
The Infinite Markov Model NIPS 2007
Measuring Neural Synchrony by Message Passing NIPS 2007
Fast Variational Inference for Large-scale Internet Diagnosis NIPS 2007
Collapsed Variational Inference for HDP NIPS 2007
Optimising Kernel Parameters and Regularisation Coefficients for Non-linear Discriminant Analysis JMLR 2006
Bayesian Ensemble Learning NIPS 2006
Optimal Change-Detection and Spiking Neurons NIPS 2006