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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 951–975 of 2226 papers

TitleStatusHype
False Discovery Rate Control via Frequentist-assisted Horseshoe—0
Affine Invariant Ensemble Transform Methods to Improve Predictive Uncertainty in Neural Networks—0
Accelerating pseudo-marginal Metropolis-Hastings by correlating auxiliary variables—0
Forming Real-World Human-Robot Cooperation for Tasks With General Goal—0
Fast and Flexible Bayesian Inference in Time-varying Parameter Regression Models—0
Fast and Order-invariant Inference in Bayesian VARs with Non-Parametric Shocks—0
Free Energy Minimization: A Unified Framework for Modelling, Inference, Learning,and Optimization—0
Bayesian Inference with Deep Weakly Nonlinear Networks—0
Bayesian inference with finitely wide neural networks—0
Fast Approximate Inference of Transcript Expression Levels from RNA-seq Data—0
Fast Bayesian Inference for Gaussian Cox Processes via Path Integral Formulation—0
Fast Bayesian Inference for Non-Conjugate Gaussian Process Regression—0
Further analysis of multilevel Stein variational gradient descent with an application to the Bayesian inference of glacier ice models—0
Belief functions induced by random fuzzy sets: A general framework for representing uncertain and fuzzy evidence—0
Fast Convergence for Langevin Diffusion with Manifold Structure—0
Fast Convergence for Langevin with Matrix Manifold Structure—0
A Tractable Fully Bayesian Method for the Stochastic Block Model—0
Fast Dual Variational Inference for Non-Conjugate LGMs—0
Sampling from Log-Concave Distributions over Polytopes via a Soft-Threshold Dikin Walk—0
Faster Uncertainty Quantification for Inverse Problems with Conditional Normalizing Flows—0
A time-varying finance-led model for U.S. business cycles—0
Fast Low-Rank Bayesian Matrix Completion with Hierarchical Gaussian Prior Models—0
Fast online inference for nonlinear contextual bandit based on Generative Adversarial Network—0
Fast Parallel SVM using Data Augmentation—0
Forecasting Macroeconomic Dynamics using a Calibrated Data-Driven Agent-based Model—0
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Benchmark Results

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