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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 961–970 of 2226 papers

TitleStatusHype
Active Inference in Robotics and Artificial Agents: Survey and Challenges—0
Challenges and Opportunities in Approximate Bayesian Deep Learning for Intelligent IoT Systems—0
A Novel Gaussian Process Based Ground Segmentation Algorithm with Local-Smoothness Estimation—0
Efficient Online Bayesian Inference for Neural BanditsCode1
Fast Bayesian Inference for Gaussian Cox Processes via Path Integral Formulation—0
A sampling-based circuit for optimal decision making—0
Impression learning: Online representation learning with synaptic plasticityCode0
Functional Variational Inference based on Stochastic Process Generators—0
Compositional Modeling of Nonlinear Dynamical Systems with ODE-based Random FeaturesCode0
BAST: Bayesian Additive Regression Spanning Trees for Complex Constrained DomainCode0
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Benchmark Results

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