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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 726–750 of 2226 papers

TitleStatusHype
Black-box Coreset Variational InferenceCode0
Fast and robust Bayesian Inference using Gaussian Processes with GPryCode1
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
Variational Bayesian Inference Clustering Based Joint User Activity and Data Detection for Grant-Free Random Access in mMTC—0
Bayesian Methods in Automated Vehicle's Car-following Uncertainties: Enabling Strategic Decision Making—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
Uncertain Evidence in Probabilistic Models and Stochastic Simulators—0
Efficient identification of informative features in simulation-based inferenceCode0
Bayesian deep learning framework for uncertainty quantification in high dimensions—0
Bottom-up data integration in polymer models of chromatin organisation—0
Autoencoded sparse Bayesian in-IRT factorization, calibration, and amortized inference for the Work Disability Functional Assessment Battery—0
On Representations of Mean-Field Variational Inference—0
Variational Model Perturbation for Source-Free Domain AdaptationCode0
Data Subsampling for Bayesian Neural NetworksCode0
Deep Learning Aided Laplace Based Bayesian Inference for Epidemiological Systems—0
Marginalized particle Gibbs for multiple state-space models coupled through shared parameters—0
On Divergence Measures for Bayesian PseudocoresetsCode0
Sequential Neural Score Estimation: Likelihood-Free Inference with Conditional Score Based Diffusion ModelsCode0
Sampling-based inference for large linear models, with application to linearised LaplaceCode0
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Benchmark Results

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