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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 1171–1180 of 2226 papers

TitleStatusHype
Reliable ABC model choice via random forests—0
Remarks on kernel Bayes' rule—0
Remote sensing image fusion based on Bayesian GAN—0
Quantifying the mini-batching error in Bayesian inference for Adaptive Langevin dynamics—0
Reparameterization invariance in approximate Bayesian inference—0
Reparameterizing the Birkhoff Polytope for Variational Permutation Inference—0
Representation Learning via Variational Bayesian Networks—0
Repulsive Attention: Rethinking Multi-head Attention as Bayesian Inference—0
RL with KL penalties is better viewed as Bayesian inference—0
Robust Amortized Bayesian Inference with Self-Consistency Losses on Unlabeled Data—0
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Benchmark Results

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