SOTAVerified

Bayesian Inference

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

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1891–1900 of 2226 papers

TitleStatusHype
Variational Bayes In Private Settings (VIPS)Code0
Evaluating Topic Quality with Posterior VariabilityCode0
Mismatched Estimation of rank-one symmetric matrices under Gaussian noiseCode0
Recurrent switching linear dynamical systemsCode0
Mixed Variational InferenceCode0
Batch Bayesian Optimization via Particle Gradient FlowsCode0
Calibrating Neural Simulation-Based Inference with Differentiable Coverage ProbabilityCode0
Bayesian latent structure discovery from multi-neuron recordingsCode0
Bayesian Inference of Minimally Complex Models with Interactions of Arbitrary OrderCode0
Calibrated One Round Federated Learning with Bayesian Inference in the Predictive SpaceCode0
Show:102550
← PrevPage 190 of 223Next →

Benchmark Results

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