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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 871–880 of 2226 papers

TitleStatusHype
Deep Ensemble as a Gaussian Process Approximate Posterior—0
Statistical applications of contrastive learning—0
Designing Perceptual Puzzles by Differentiating Probabilistic Programs—0
Zero-Shot Logit AdjustmentCode1
A Bayesian Approach To Graph Partitioning—0
The Boltzmann Policy Distribution: Accounting for Systematic Suboptimality in Human ModelsCode1
A majorization-minimization algorithm for nonnegative binary matrix factorization—0
A stochastic Stein Variational Newton methodCode0
Beta Residuals: Improving Fault-Tolerant Control for Sensory Faults via Bayesian Inference and Precision Learning—0
Learning-based Bounded Synthesis for Semi-MDPs with LTL Specifications—0
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Benchmark Results

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