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 991–1000 of 2226 papers

TitleStatusHype
TopWORDS-Seg: Simultaneous Text Segmentation and Word Discovery for Open-Domain Chinese Texts via Bayesian Inference—0
Approximating Permutations with Neural Network Components for Travelling Photographer Problem—0
Deep Ensemble as a Gaussian Process Approximate Posterior—0
Statistical applications of contrastive learning—0
Designing Perceptual Puzzles by Differentiating Probabilistic Programs—0
A Bayesian Approach To Graph Partitioning—0
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