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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 1871–1880 of 2226 papers

TitleStatusHype
Bayesian Inference of Spreading Processes on Networks—0
Generative learning for deep networks—0
Analytic solution and stationary phase approximation for the Bayesian lasso and elastic netCode0
Approximate Bayesian Inference in Linear State Space Models for Intermittent Demand Forecasting at Scale—0
ZhuSuan: A Library for Bayesian Deep LearningCode0
Asymptotic Bayesian Generalization Error in Latent Dirichlet Allocation and Stochastic Matrix Factorization—0
Roll-back Hamiltonian Monte Carlo—0
Inverse Ising problem in continuous time: A latent variable approachCode0
Learning Inference Models for Computer Vision—0
Fast Low-Rank Bayesian Matrix Completion with Hierarchical Gaussian Prior Models—0
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Benchmark Results

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