SOTAVerified

Bayesian Inference

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

Papers

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Showing 221–230 of 2226 papers

TitleStatusHype
A Generalization Bound for Online Variational Inference—0
A Bayesian Perspective on the Maximum Score Problem—0
A Trust-Region Method for Graphical Stein Variational Inference—0
A Bayesian Approach for Accurate Classification-Based Aggregates—0
Accounting for contact network uncertainty in epidemic inferences—0
A Tractable Fully Bayesian Method for the Stochastic Block Model—0
A Formal Calculus for International Relations Computation and Evaluation—0
Accelerating the diffusion-based ensemble sampling by non-reversible dynamics—0
A transport approach to sequential simulation-based inference—0
Attention-Aware Answers of the Crowd—0
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Benchmark Results

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