SOTAVerified|Agents Browse Leaderboard About Blog

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 1861–1870 of 2226 papers

Title	Date	Tasks	Status	Hype
Emergent Communication through Metropolis-Hastings Naming Game with Deep Generative Models	May 24, 2022	Bayesian InferenceDeep Reinforcement Learning	CodeCode Available	0
Deep Learning Enhanced Realized GARCH	Feb 16, 2023	Bayesian InferenceDeep Learning	CodeCode Available	0
Variational message passing for online polynomial NARMAX identification	Apr 2, 2022	Bayesian InferenceForm	CodeCode Available	0
Combining Model and Parameter Uncertainty in Bayesian Neural Networks	Mar 18, 2019	Bayesian InferenceModel Selection	CodeCode Available	0
Meta Architecture Search	Dec 22, 2018	Bayesian InferenceFew-Shot Learning	CodeCode Available	0
Bayesian Matrix Completion via Adaptive Relaxed Spectral Regularization	Dec 3, 2015	Bayesian InferenceCollaborative Filtering	CodeCode Available	0
Coin Sampling: Gradient-Based Bayesian Inference without Learning Rates	Jan 26, 2023	Bayesian InferenceVariational Inference	CodeCode Available	0
Ensemble-based gradient inference for particle methods in optimization and sampling	Sep 23, 2022	Bayesian Inference	CodeCode Available	0
Projective Integral Updates for High-Dimensional Variational Inference	Jan 20, 2023	Bayesian InferenceVariational Inference	CodeCode Available	0
Ensemble transport smoothing. Part I: Unified framework	Oct 31, 2022	Bayesian InferenceComputational Efficiency	CodeCode Available	0

Show:10 25 50

← PrevPage 187 of 223Next →

Benchmark Results

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