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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 876–900 of 2226 papers

TitleStatusHype
The Boltzmann Policy Distribution: Accounting for Systematic Suboptimality in Human ModelsCode1
A majorization-minimization algorithm for nonnegative binary matrix factorization—0
A stochastic Stein Variational Newton methodCode0
Beta Residuals: Improving Fault-Tolerant Control for Sensory Faults via Bayesian Inference and Precision Learning—0
Learning-based Bounded Synthesis for Semi-MDPs with LTL Specifications—0
Predictive coding and stochastic resonance as fundamental principles of auditory perception—0
Deep surrogate accelerated delayed-acceptance HMC for Bayesian inference of spatio-temporal heat fluxes in rotating disc systemsCode0
Hybrid Predictive Coding: Inferring, Fast and Slow—0
Variational message passing for online polynomial NARMAX identificationCode0
Scalable Semi-Modular Inference with Variational Meta-PosteriorsCode0
A Framework for Improving the Reliability of Black-box Variational InferenceCode1
Primitive-based Shape Abstraction via Nonparametric Bayesian Inference—0
Free energy and inference in living systems—0
Bayesian Deep Learning with Multilevel Trace-class Neural Networks—0
Knowledge Removal in Sampling-based Bayesian InferenceCode1
Statistic Selection and MCMC for Differentially Private Bayesian EstimationCode0
DiSECt: A Differentiable Simulator for Parameter Inference and Control in Robotic Cutting—0
Variational inference of fractional Brownian motion with linear computational complexity—0
Generative models and Bayesian inversion using Laplace approximation—0
Accelerated Bayesian SED Modeling using Amortized Neural Posterior EstimationCode1
Quantifying active and resistive stresses in adherent cells—0
GATSBI: Generative Adversarial Training for Simulation-Based InferenceCode1
Sampling Bias Correction for Supervised Machine Learning: A Bayesian Inference Approach with Practical Applications—0
Estimation of the incubation period and generation time of SARS-CoV-2 Alpha and Delta variants from contact tracing data—0
Bayesian inference via sparse Hamiltonian flowsCode0
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Benchmark Results

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