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 2126–2150 of 2226 papers

Title	Date	Tasks	Status
ScrofaZero: Mastering Trick-taking Poker Game Gongzhu by Deep Reinforcement Learning	Feb 15, 2021	Bayesian InferenceDeep Reinforcement Learning	CodeCode Available
Improved Marginal Unbiased Score Expansion (MUSE) via Implicit Differentiation	Sep 21, 2022	Bayesian InferenceProbabilistic Programming	CodeCode Available
Variational Reformulation of Bayesian Inverse Problems	Oct 21, 2014	Bayesian InferenceComputational Efficiency	CodeCode Available
Segmentation with Noisy Labels via Spatially Correlated Distributions	Apr 21, 2025	Bayesian InferenceSemantic Segmentation	CodeCode Available
Parallel Gaussian process surrogate Bayesian inference with noisy likelihood evaluations	May 3, 2019	Bayesian InferenceBayesian Optimisation	CodeCode Available
Bayesian inference is facilitated by modular neural networks with different time scales	Oct 21, 2022	Bayesian Inference	CodeCode Available
Parallelizing MCMC with Random Partition Trees	Jun 10, 2015	Bayesian Inference	CodeCode Available
Improving Cooperation in Language Games with Bayesian Inference and the Cognitive Hierarchy	Dec 16, 2024	Bayesian Inference	CodeCode Available
Parallel MCMC Without Embarrassing Failures	Feb 22, 2022	Active LearningBayesian Inference	CodeCode Available
Bayesian Inference for Structural Vector Autoregressions Identified by Markov-Switching Heteroskedasticity	Nov 20, 2018	Bayesian Inference	CodeCode Available
Improving Quadrature for Constrained Integrands	Feb 13, 2018	Bayesian Inference	CodeCode Available
Improving Trust Estimation in Human-Robot Collaboration Using Beta Reputation at Fine-grained Timescales	Nov 4, 2024	Bayesian InferenceBehavioural cloning	CodeCode Available
A Factor Graph Approach to Automated Design of Bayesian Signal Processing Algorithms	Nov 8, 2018	Bayesian Inferenceparameter estimation	CodeCode Available
Parameter elimination in particle Gibbs sampling	Oct 30, 2019	Bayesian InferenceEpidemiology	CodeCode Available
TabPFN: One Model to Rule Them All?	May 26, 2025	AllBayesian Inference	CodeCode Available
Parameterizing pressure-temperature profiles of exoplanet atmospheres with neural networks	Sep 6, 2023	Bayesian Inference	CodeCode Available
In-Context Learning through the Bayesian Prism	Jun 8, 2023	Bayesian InferenceIn-Context Learning	CodeCode Available
Adaptive Gaussian process approximation for Bayesian inference with expensive likelihood functions	Mar 29, 2017	Active LearningBayesian Inference	CodeCode Available
Semi-Implicit Variational Inference	May 28, 2018	Bayesian InferenceVariational Inference	CodeCode Available
Semi-Implicit Variational Inference via Score Matching	Aug 19, 2023	Bayesian InferenceDenoising	CodeCode Available
Individual Fairness in Bayesian Neural Networks	Apr 21, 2023	Adversarial RobustnessBayesian Inference	CodeCode Available
Semi-Modular Inference: enhanced learning in multi-modular models by tempering the influence of components	Mar 15, 2020	Bayesian InferenceMeta-Learning	CodeCode Available
A Mutually-Dependent Hadamard Kernel for Modelling Latent Variable Couplings	Feb 27, 2017	Bayesian InferenceClassification	CodeCode Available
Inference of a mesoscopic population model from population spike trains	Oct 3, 2019	Bayesian Inference	CodeCode Available
Parsimony-Enhanced Sparse Bayesian Learning for Robust Discovery of Partial Differential Equations	Jul 8, 2021	Bayesian InferenceModel Selection	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