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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 2121–2130 of 2226 papers

TitleStatusHype
Stochastic Backpropagation and Approximate Inference in Deep Generative ModelsCode0
Bayesian Conditional Density FilteringCode0
Solving #SAT and Bayesian Inference with Backtracking Search—0
Multiscale Shrinkage and Lévy Processes—0
Online Bayesian Passive-Aggressive Learning—0
Sequential Monte Carlo Inference of Mixed Membership Stochastic Blockmodels for Dynamic Social Networks—0
Bayesian inference for low rank spatiotemporal neural receptive fields—0
Bayesian Inference and Online Experimental Design for Mapping Neural Microcircuits—0
Factorized Asymptotic Bayesian Inference for Latent Feature Models—0
Low-rank matrix reconstruction and clustering via approximate message passing—0
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Benchmark Results

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