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 581–590 of 2226 papers

TitleStatusHype
A Bayesian Approach To Graph Partitioning—0
Causal Inference through a Witness Protection Program—0
Challenges and Opportunities in Approximate Bayesian Deep Learning for Intelligent IoT Systems—0
Clustered Mallows Model—0
Automated Circuit Sizing with Multi-objective Optimization based on Differential Evolution and Bayesian Inference—0
Autoencoded sparse Bayesian in-IRT factorization, calibration, and amortized inference for the Work Disability Functional Assessment Battery—0
A Mean Field Approach to Empirical Bayes Estimation in High-dimensional Linear Regression—0
AutoEKF: Scalable System Identification for COVID-19 Forecasting from Large-Scale GPS Data—0
AutoBayes: Automated Bayesian Graph Exploration for Nuisance-Robust Inference—0
A Mathematical Walkthrough and Discussion of the Free Energy Principle—0
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Benchmark Results

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