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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 1671–1680 of 2226 papers

Title	Date	Tasks	Status	Hype
Accelerated MM Algorithms for Ranking Scores Inference from Comparison Data	Jan 1, 2019	Bayesian Inference	CodeCode Available	0
Guess Who's Coming (and Who's Going): Bringing Perspective to the Rational Speech Acts Framework	Jan 1, 2019	Bayesian Inference	—Unverified	0
Probabilistic Streaming Tensor Decomposition	Dec 31, 2018	Bayesian InferenceTensor Decomposition	CodeCode Available	0
Neural Clustering Processes	Dec 28, 2018	Bayesian InferenceClustering	CodeCode Available	1
Meta Architecture Search	Dec 22, 2018	Bayesian InferenceFew-Shot Learning	CodeCode Available	0
Surrogate-assisted Bayesian inversion for landscape and basin evolution models	Dec 12, 2018	Bayesian InferenceComputational Efficiency	CodeCode Available	0
Probabilistic Model Checking of Robots Deployed in Extreme Environments	Dec 10, 2018	Bayesian Inference	—Unverified	0
Physics-Based Learning for Robotic Environmental Sensing	Dec 10, 2018	Bayesian InferenceGaussian Processes	—Unverified	0
Sampling-based Bayesian Inference with gradient uncertainty	Dec 8, 2018	Bayesian Inference	—Unverified	0
Efficient transfer learning and online adaptation with latent variable models for continuous control	Dec 8, 2018	Bayesian Inferencecontinuous-control	—Unverified	0

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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