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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 2101–2125 of 2226 papers

TitleStatusHype
Quasi-Bayesian Dual Instrumental Variable RegressionCode0
Learning to infer in recurrent biological networksCode0
Arbitrary Marginal Neural Ratio Estimation for Simulation-based InferenceCode0
On the relationship between a Gamma distributed precision parameter and the associated standard deviation in the context of Bayesian parameter inferenceCode0
Scalable Semi-Modular Inference with Variational Meta-PosteriorsCode0
A Probabilistic Disease Progression Model for Predicting Future Clinical OutcomeCode0
Scalable Stochastic Gradient Riemannian Langevin Dynamics in Non-Diagonal MetricsCode0
SuperARC: An Agnostic Test for Narrow, General, and Super Intelligence Based On the Principles of Recursive Compression and Algorithmic ProbabilityCode0
On the representation and learning of monotone triangular transport mapsCode0
A Bayesian Method for Joint Clustering of Vectorial Data and Network DataCode0
Surrogate-assisted Bayesian inversion for landscape and basin evolution modelsCode0
Optimally-Weighted Estimators of the Maximum Mean Discrepancy for Likelihood-Free InferenceCode0
Optimal Neural Network Approximation of Wasserstein Gradient Direction via Convex OptimizationCode0
Surrogate-assisted parallel tempering for Bayesian neural learningCode0
Vision Meets Definitions: Unsupervised Visual Word Sense Disambiguation Incorporating Gloss InformationCode0
Optimal Regret Is Achievable with Bounded Approximate Inference Error: An Enhanced Bayesian Upper Confidence Bound FrameworkCode0
Optimal Subspace Inference for the Laplace Approximation of Bayesian Neural NetworksCode0
Optimization Proxies using Limited Labeled Data and Training Time -- A Semi-Supervised Bayesian Neural Network ApproachCode0
Swift sky localization of gravitational waves using deep learning seeded importance samplingCode0
VKFPos: A Learning-Based Monocular Positioning with Variational Bayesian Extended Kalman Filter IntegrationCode0
Scan-specific Self-supervised Bayesian Deep Non-linear Inversion for Undersampled MRI ReconstructionCode0
Approximate Variational Inference Based on a Finite Sample of Gaussian Latent VariablesCode0
Impression learning: Online representation learning with synaptic plasticityCode0
Bayesian inference of infected patients in group testing with prevalence estimationCode0
Bayesian Inference of Individualized Treatment Effects using Multi-task Gaussian ProcessesCode0
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Benchmark Results

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