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 1341–1350 of 2226 papers

Title	Date	Tasks	Status	Hype
Deep Autoencoding Topic Model with Scalable Hybrid Bayesian Inference	Jun 15, 2020	Bayesian Inference	—Unverified	0
Variational Bayesian Monte Carlo with Noisy Likelihoods	Jun 15, 2020	Bayesian Inference	CodeCode Available	1
Online Bayesian Goal Inference for Boundedly-Rational Planning Agents	Jun 13, 2020	Bayesian Inference	CodeCode Available	1
Faster MCMC for Gaussian Latent Position Network Models	Jun 13, 2020	Bayesian InferenceClustering	CodeCode Available	0
Scalable Control Variates for Monte Carlo Methods via Stochastic Optimization	Jun 12, 2020	Bayesian InferenceStochastic Optimization	—Unverified	0
Approximate Inference for Spectral Mixture Kernel	Jun 12, 2020	Bayesian InferenceVariational Inference	—Unverified	0
Detecting structural perturbations from time series with deep learning	Jun 9, 2020	Bayesian InferenceDeep Learning	CodeCode Available	0
Variational Auto-Regressive Gaussian Processes for Continual Learning	Jun 9, 2020	Bayesian InferenceContinual Learning	CodeCode Available	1
Probabilistic Autoencoder	Jun 9, 2020	Bayesian InferenceDenoising	CodeCode Available	1
A Variational View on Bootstrap Ensembles as Bayesian Inference	Jun 8, 2020	Bayesian Inferencevalid	—Unverified	0

Show:10 25 50

← PrevPage 135 of 223Next →

Benchmark Results

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