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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 851–875 of 2226 papers

TitleStatusHype
Approximate Gibbs Sampler for Efficient Inference of Hierarchical Bayesian Models for Grouped Count Data—0
Looking at the posterior: accuracy and uncertainty of neural-network predictions—0
Bayesian Learning for Neural Networks: an algorithmic survey—0
Few-shot Non-line-of-sight Imaging with Signal-surface Collaborative Regularization—0
Active Exploration based on Information Gain by Particle Filter for Efficient Spatial Concept Formation—0
Monitoring machine learning (ML)-based risk prediction algorithms in the presence of confounding medical interventionsCode0
Orthogonal Polynomials Approximation Algorithm (OPAA):a functional analytic approach to estimating probability densities—0
Understanding Approximation for Bayesian Inference in Neural Networks—0
Bayesian score calibration for approximate modelsCode0
Generalization of generative model for neuronal ensemble inference method—0
Black-box Coreset Variational InferenceCode0
Fully Bayesian inference for latent variable Gaussian process modelsCode0
Ensemble transport smoothing. Part II: Nonlinear updatesCode0
Ensemble transport smoothing. Part I: Unified frameworkCode0
Federated Averaging Langevin Dynamics: Toward a unified theory and new algorithms—0
SoftBart: Soft Bayesian Additive Regression Trees—0
Bayesian Inference of Transition Matrices from Incomplete Graph Data with a Topological Prior—0
Bayesian Methods in Automated Vehicle's Car-following Uncertainties: Enabling Strategic Decision Making—0
Variational Bayesian Inference Clustering Based Joint User Activity and Data Detection for Grant-Free Random Access in mMTC—0
Learning Latent Structural Causal Models—0
GFlowOut: Dropout with Generative Flow Networks—0
Bayesian inference is facilitated by modular neural networks with different time scalesCode0
Efficient identification of informative features in simulation-based inferenceCode0
Bayesian deep learning framework for uncertainty quantification in high dimensions—0
Uncertain Evidence in Probabilistic Models and Stochastic Simulators—0
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Benchmark Results

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