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 1611–1620 of 2226 papers

TitleStatusHype
Spectral Reconstruction with Deep Neural Networks—0
Stein Point Markov Chain Monte CarloCode0
A Latent Variational Framework for Stochastic Optimization—0
Parallel Gaussian process surrogate Bayesian inference with noisy likelihood evaluationsCode0
Variational Domain Adaptation—0
Neuromorphic Acceleration for Approximate Bayesian Inference on Neural Networks via Permanent Dropout—0
A Bayesian Monte Carlo approach for predicting the spread of infectious diseasesCode0
Reversible Jump Probabilistic ProgrammingCode0
A Bayesian Perspective on the Deep Image PriorCode0
Few-Shot Bayesian Imitation Learning with Logical Program Policies—0
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Benchmark Results

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