Bayesian Inference

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

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 201–225 of 2226 papers

Title	Date	Tasks	Status	Hype	Score
PICLe: Eliciting Diverse Behaviors from Large Language Models with Persona In-Context Learning	May 3, 2024	Bayesian InferenceIn-Context Learning	CodeCode Available	1	5
Semi-Supervised Learning with Deep Generative Models	Jun 20, 2014	Bayesian Inference	CodeCode Available	1	5
BioEM: GPU-accelerated computing of Bayesian inference of electron microscopy images	Sep 21, 2016	Bayesian InferenceCPU	CodeCode Available	1	5
Simulation-efficient marginal posterior estimation with swyft: stop wasting your precious time	Nov 27, 2020	AstronomyBayesian Inference	CodeCode Available	1	5
Spacecraft Collision Risk Assessment with Probabilistic Programming	Dec 18, 2020	Bayesian InferenceProbabilistic Programming	CodeCode Available	1	5
Distilled Self-Critique of LLMs with Synthetic Data: a Bayesian Perspective	Dec 4, 2023	Bayesian Inference	CodeCode Available	1	5
A Bayesian algorithm for retrosynthesis	Mar 6, 2020	Bayesian InferenceCombinatorial Optimization	CodeCode Available	1	5
Antipodes of Label Differential Privacy: PATE and ALIBI	Jun 7, 2021	Bayesian InferenceMemorization	CodeCode Available	1	5
Successive Linear Approximation VBI for Joint Sparse Signal Recovery and Dynamic Grid Parameters Estimation	Jul 18, 2023	Bayesian Inferencecompressed sensing	CodeCode Available	1	5
Eryn : A multi-purpose sampler for Bayesian inference	Mar 3, 2023	AstronomyBayesian Inference	CodeCode Available	1	5
Can Transformers Learn Full Bayesian Inference in Context?	Jan 28, 2025	Bayesian InferenceIn-Context Learning	CodeCode Available	1	5
Calibrating Transformers via Sparse Gaussian Processes	Mar 4, 2023	Bayesian InferenceGaussian Processes	CodeCode Available	1	5
Knowledge Removal in Sampling-based Bayesian Inference	Mar 24, 2022	Bayesian InferenceMachine Unlearning	CodeCode Available	1	5
The Boltzmann Policy Distribution: Accounting for Systematic Suboptimality in Human Models	Apr 22, 2022	Bayesian InferenceImitation Learning	CodeCode Available	1	5
A Framework for Improving the Reliability of Black-box Variational Inference	Mar 29, 2022	Bayesian InferenceStochastic Optimization	CodeCode Available	1	5
TimePFN: Effective Multivariate Time Series Forecasting with Synthetic Data	Feb 22, 2025	Bayesian InferenceFew-Shot Learning	CodeCode Available	1	5
Measuring Uncertainty through Bayesian Learning of Deep Neural Network Structure	Nov 22, 2019	Bayesian InferenceNeural Architecture Search	CodeCode Available	0	5
Data Subsampling for Bayesian Neural Networks	Oct 17, 2022	Bayesian InferenceFederated Learning	CodeCode Available	0	5
Debiased Bayesian inference for average treatment effects	Sep 26, 2019	Bayesian InferenceCausal Inference	CodeCode Available	0	5
A generative flow for conditional sampling via optimal transport	Jul 9, 2023	Bayesian InferenceDensity Estimation	CodeCode Available	0	5
Data-driven Approach for Interpolation of Sparse Data	May 2, 2025	Bayesian InferenceGaussian Processes	CodeCode Available	0	5
deBInfer: Bayesian inference for dynamical models of biological systems in R	Oct 15, 2016	Bayesian Inference	CodeCode Available	0	5
A General Framework for Uncertainty Estimation in Deep Learning	Jul 16, 2019	Autonomous DrivingBayesian Inference	CodeCode Available	0	5
AGEM: Solving Linear Inverse Problems via Deep Priors and Sampling	Dec 1, 2019	Bayesian InferenceDeblurring	CodeCode Available	0	5
A Bayesian Perspective on the Deep Image Prior	Apr 16, 2019	Bayesian InferenceDenoising	CodeCode Available	0	5

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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