SOTAVerified|Agents Browse Leaderboard About

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 91–100 of 2226 papers

Title	Date	Tasks	Status	Hype	Score
Accelerated Bayesian SED Modeling using Amortized Neural Posterior Estimation	Mar 14, 2022	Bayesian InferenceCPU	CodeCode Available	1	5
A Practical Introduction to Bayesian Estimation of Causal Effects: Parametric and Nonparametric Approaches	Apr 15, 2020	Bayesian InferenceCausal Inference	CodeCode Available	1	5
Understanding and Accelerating Particle-Based Variational Inference	Jul 4, 2018	Bayesian InferenceVariational Inference	CodeCode Available	1	5
A practical tutorial on Variational Bayes	Mar 1, 2021	Bayesian InferenceVariational Inference	CodeCode Available	1	5
Bayesian hierarchical stacking: Some models are (somewhere) useful	Jan 22, 2021	Bayesian InferenceTime Series	CodeCode Available	1	5
Efficient Online Bayesian Inference for Neural Bandits	Dec 1, 2021	Bayesian InferenceRecommendation Systems	CodeCode Available	1	5
Encoding the latent posterior of Bayesian Neural Networks for uncertainty quantification	Dec 4, 2020	Bayesian InferenceDecision Making Under Uncertainty	CodeCode Available	1	5
A Simple Baseline for Bayesian Uncertainty in Deep Learning	Feb 7, 2019	Bayesian InferenceDeep Learning	CodeCode Available	1	5
Triple equivalence for the emergence of biological intelligence	Sep 7, 2024	Bayesian InferenceModel Selection	CodeCode Available	1	5
Bayesian neural networks via MCMC: a Python-based tutorial	Apr 2, 2023	Bayesian InferenceDeep Learning	CodeCode Available	1	5

Show:10 25 50

← PrevPage 10 of 223Next →

Benchmark Results

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