Bayesian Inference

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

Papers

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Showing 1851–1875 of 2226 papers

Title	Date	Tasks	Status
Uncertainty Quantification in Heterogeneous Treatment Effect Estimation with Gaussian-Process-Based Partially Linear Model	Dec 16, 2023	Bayesian InferenceDecision Making	CodeCode Available
Uncertainty Quantification of the 4th kind; optimal posterior accuracy-uncertainty tradeoff with the minimum enclosing ball	Aug 24, 2021	Bayesian InferenceUncertainty Quantification	CodeCode Available
ELBOing Stein: Variational Bayes with Stein Mixture Inference	Oct 30, 2024	Bayesian Inference	CodeCode Available
Electricity Spot Prices Forecasting Using Stochastic Volatility Models	Jun 9, 2024	Bayesian InferenceTime Series	CodeCode Available
Electrostatics-based particle sampling and approximate inference	Jun 28, 2024	Bayesian Inference	CodeCode Available
Detecting Model Misspecification in Amortized Bayesian Inference with Neural Networks	Dec 16, 2021	Bayesian InferenceDecision Making	CodeCode Available
Measuring diachronic sense change: new models and Monte Carlo methods for Bayesian inference	Apr 14, 2021	Bayesian Inference	CodeCode Available
Quantifying cell cycle regulation by tissue crowding	Jan 16, 2024	Bayesian Inference	CodeCode Available
Bayesian multiscale deep generative model for the solution of high-dimensional inverse problems	Feb 4, 2021	Bayesian Inferenceparameter estimation	CodeCode Available
Comparative Study of Inference Methods for Bayesian Nonnegative Matrix Factorisation	Jul 13, 2017	Bayesian InferenceMissing Values	CodeCode Available
Emergent Communication through Metropolis-Hastings Naming Game with Deep Generative Models	May 24, 2022	Bayesian InferenceDeep Reinforcement Learning	CodeCode Available
Deep Learning Enhanced Realized GARCH	Feb 16, 2023	Bayesian InferenceDeep Learning	CodeCode Available
Variational message passing for online polynomial NARMAX identification	Apr 2, 2022	Bayesian InferenceForm	CodeCode Available
Combining Model and Parameter Uncertainty in Bayesian Neural Networks	Mar 18, 2019	Bayesian InferenceModel Selection	CodeCode Available
Meta Architecture Search	Dec 22, 2018	Bayesian InferenceFew-Shot Learning	CodeCode Available
Bayesian Matrix Completion via Adaptive Relaxed Spectral Regularization	Dec 3, 2015	Bayesian InferenceCollaborative Filtering	CodeCode Available
Coin Sampling: Gradient-Based Bayesian Inference without Learning Rates	Jan 26, 2023	Bayesian InferenceVariational Inference	CodeCode Available
Ensemble-based gradient inference for particle methods in optimization and sampling	Sep 23, 2022	Bayesian Inference	CodeCode Available
Projective Integral Updates for High-Dimensional Variational Inference	Jan 20, 2023	Bayesian InferenceVariational Inference	CodeCode Available
Ensemble transport smoothing. Part I: Unified framework	Oct 31, 2022	Bayesian InferenceComputational Efficiency	CodeCode Available
Ensemble transport smoothing. Part II: Nonlinear updates	Oct 31, 2022	Bayesian InferenceState Space Models	CodeCode Available
Baxter Permutation Process	Dec 1, 2020	Bayesian Inference	CodeCode Available
Bayesian Learning-Based Adaptive Control for Safety Critical Systems	Oct 5, 2019	Autonomous VehiclesBayesian Inference	CodeCode Available
Metric Gaussian Variational Inference	Jan 30, 2019	Bayesian InferenceVariational Inference	CodeCode Available
Epidemic-guided deep learning for spatiotemporal forecasting of Tuberculosis outbreak	Feb 15, 2025	Bayesian InferenceConformal Prediction	CodeCode Available

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Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	F-SWA	Accuracy	83.61	—	Unverified
2	F-SWAG	Accuracy	80.93	—	Unverified