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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

Extracting State Transition Dynamics from Multiple Spike Trains with Correlated Poisson HMM NIPS 2008
Bayesian Exponential Family PCA NIPS 2008
Characterizing response behavior in multisensory perception with conflicting cues NIPS 2008
Interpreting the neural code with Formal Concept Analysis NIPS 2008
Model selection and velocity estimation using novel priors for motion patterns NIPS 2008
Goal-directed decision making in prefrontal cortex: a computational framework NIPS 2008
Efficient Inference in Phylogenetic InDel Trees NIPS 2008
Estimating the Location and Orientation of Complex, Correlated Neural Activity using MEG NIPS 2008
Multi-Agent Filtering with Infinitely Nested Beliefs NIPS 2008
Bayesian Kernel Shaping for Learning Control NIPS 2008
Posterior Consistency of the Silverman g-prior in Bayesian Model Choice NIPS 2008
Load and Attentional Bayes NIPS 2008
Dependent Dirichlet Process Spike Sorting NIPS 2008
Bayesian Model of Behaviour in Economic Games NIPS 2008
How memory biases affect information transmission: A rational analysis of serial reproduction NIPS 2008
Probabilistic detection of short events, with application to critical care monitoring NIPS 2008
Hebbian Learning of Bayes Optimal Decisions NIPS 2008
Characterizing the Function Space for Bayesian Kernel Models JMLR 2007
Optimal models of sound localization by barn owls NIPS 2007
Continuous Time Particle Filtering for fMRI NIPS 2007
Bayesian binning beats approximate alternatives: estimating peri-stimulus time histograms NIPS 2007
A Bayesian Model of Conditioned Perception NIPS 2007
Bayesian Inference for Spiking Neuron Models with a Sparsity Prior NIPS 2007
Efficient Bayesian Inference for Dynamically Changing Graphs NIPS 2007
PAC-Bayes Risk Bounds for Stochastic Averages and Majority Votes of Sample-Compressed Classifiers JMLR 2007