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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 1931–1940 of 2226 papers

TitleStatusHype
Variational Bayes In Private Settings (VIPS)Code0
Fuzzy Bayesian LearningCode0
Joint Target Detection and Tracking in Multipath Environment: A Variational Bayesian Approach—0
Differentially Private Variational Inference for Non-conjugate ModelsCode1
Operator Variational Inference—0
Bayesian latent structure discovery from multi-neuron recordingsCode0
Recurrent switching linear dynamical systemsCode0
Body movement to sound interface with vector autoregressive hierarchical hidden Markov models—0
Stochastic inference with spiking neurons in the high-conductance state—0
Reparameterization Gradients through Acceptance-Rejection Sampling AlgorithmsCode0
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Benchmark Results

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