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Bayesian Inference

Bayesian Inference is a methodology that employs Bayes Rule to estimate parameters (and their full posterior).

Papers

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Showing 1651–1660 of 2226 papers

TitleStatusHype
A Bayesian Approach for Accurate Classification-Based Aggregates—0
Stochastic Zeroth-order Discretizations of Langevin Diffusions for Bayesian Inference—0
Predictive Uncertainty Quantification with Compound Density Networks—0
Particle Flow Bayes' RuleCode1
Functional Regularisation for Continual Learning with Gaussian ProcessesCode0
Sequential Bayesian Detection of Spike Activities from Fluorescence Observations—0
Metric Gaussian Variational InferenceCode0
Stochastic Gradient MCMC for Nonlinear State Space ModelsCode0
Scalable Metropolis-Hastings for Exact Bayesian Inference with Large DatasetsCode0
What does the free energy principle tell us about the brain?—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1F-SWAAccuracy83.61—Unverified
2F-SWAGAccuracy80.93—Unverified