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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 1026–1050 of 2226 papers

TitleStatusHype
Rule-based Evolutionary Bayesian LearningCode0
IBIA: Bayesian Inference via Incremental Build-Infer-Approximate operations on Clique Trees—0
Parallel MCMC Without Embarrassing FailuresCode0
Non-Volatile Memory Accelerated Posterior Estimation—0
A Molecular Prior Distribution for Bayesian Inference Based on Wilson StatisticsCode0
Fast online inference for nonlinear contextual bandit based on Generative Adversarial Network—0
Hybridizing Physical and Data-driven Prediction Methods for Physicochemical Properties—0
The efficacy and generalizability of conditional GANs for posterior inference in physics-based inverse problems—0
Sequential Bayesian experimental designs via reinforcement learning—0
Adjoint-aided inference of Gaussian process driven differential equations—0
Robust Bayesian Inference for Simulator-based Models via the MMD Posterior BootstrapCode0
Impact of Parameter Sparsity on Stochastic Gradient MCMC Methods for Bayesian Deep Learning—0
Black-box Bayesian inference for economic agent-based models—0
Exoplanet Characterization using Conditional Invertible Neural Networks—0
Optimal Regret Is Achievable with Bounded Approximate Inference Error: An Enhanced Bayesian Upper Confidence Bound FrameworkCode0
Simplifying deflation for non-convex optimization with applications in Bayesian inference and topology optimization—0
Learning Summary Statistics for Bayesian Inference with AutoencodersCode0
A Probabilistic Framework for Dynamic Object Recognition in 3D Environment With A Novel Continuous Ground Estimation Method—0
A Kernel Learning Method for Backward SDE Filter—0
SoftDropConnect (SDC) -- Effective and Efficient Quantification of the Network Uncertainty in Deep MR Image AnalysisCode0
Bayesian Inference with Nonlinear Generative Models: Comments on Secure Learning—0
Bayesian inference of spatial and temporal relations in AI patents for EU countries—0
Asymptotic properties of Bayesian inference in linear regression with a structural break—0
Online, Informative MCMC Thinning with Kernelized Stein DiscrepancyCode0
Incorporating Bayesian approaches in Deep Learning Research—0
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Benchmark Results

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