SOTAVerified

Bayesian Inference

Bayesian Inference is a methodology that employs Bayes Rule to estimate parameters (and their full posterior).

Papers

Showing 551575 of 2226 papers

TitleStatusHype
Differentially Private Bayesian Inference for Exponential FamiliesCode0
Development of Use-specific High Performance Cyber-Nanomaterial Optical Detectors by Effective Choice of Machine Learning AlgorithmsCode0
Differentially Private Bayesian Learning on Distributed DataCode0
DLBI: Deep learning guided Bayesian inference for structure reconstruction of super-resolution fluorescence microscopyCode0
Deep surrogate accelerated delayed-acceptance HMC for Bayesian inference of spatio-temporal heat fluxes in rotating disc systemsCode0
Efficient Training of Probabilistic Neural Networks for Survival AnalysisCode0
Demonstrating the Continual Learning Capabilities and Practical Application of Discrete-Time Active InferenceCode0
Deep learning and MCMC with aggVAE for shifting administrative boundaries: mapping malaria prevalence in KenyaCode0
Deep Learning and genetic algorithms for cosmological Bayesian inference speed-upCode0
Deep Neural Networks as Gaussian ProcessesCode0
Bayesian task embedding for few-shot Bayesian optimizationCode0
Differentially Private Distributed Bayesian Linear Regression with MCMCCode0
Deep Bayesian Structure NetworksCode0
Deep Bayesian inference for seismic imaging with tasksCode0
deBInfer: Bayesian inference for dynamical models of biological systems in RCode0
Bayeslands: A Bayesian inference approach for parameter uncertainty quantification in BadlandsCode0
Debiased Bayesian inference for average treatment effectsCode0
Deep Active Inference as Variational Policy GradientsCode0
Dependent Multinomial Models Made Easy: Stick Breaking with the Pólya-Gamma AugmentationCode0
BClean: A Bayesian Data Cleaning SystemCode0
Bayesian score calibration for approximate modelsCode0
Being a Bit Frequentist Improves Bayesian Neural NetworksCode0
Bayesian Robust Aggregation for Federated LearningCode0
Data-driven Approach for Interpolation of Sparse DataCode0
A stochastic Stein Variational Newton methodCode0
Show:102550
← PrevPage 23 of 90Next →

Benchmark Results

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