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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 1681–1690 of 2226 papers

Title	Date	Tasks	Status	Hype
Mixed Variational Inference	Jan 15, 2019	Bayesian InferenceVariational Inference	CodeCode Available	0
Multi-modal Ensemble Classification for Generalized Zero Shot Learning	Jan 15, 2019	Bayesian InferenceClassification	—Unverified	0
Bayesian shrinkage in mixture of experts models: Identifying robust determinants of class membership	Jan 12, 2019	Bayesian InferenceMixture-of-Experts	—Unverified	0
Undirected Graphical Models as Approximate Posteriors	Jan 11, 2019	Bayesian Inference	CodeCode Available	0
A Comprehensive guide to Bayesian Convolutional Neural Network with Variational Inference	Jan 8, 2019	Bayesian InferenceGeneral Classification	CodeCode Available	0
Uncertainty-Based Out-of-Distribution Detection in Deep Reinforcement Learning	Jan 8, 2019	Bayesian InferenceDeep Reinforcement Learning	—Unverified	0
Can You Trust This Prediction? Auditing Pointwise Reliability After Learning	Jan 2, 2019	Bayesian Inference	—Unverified	0
Guess Who's Coming (and Who's Going): Bringing Perspective to the Rational Speech Acts Framework	Jan 1, 2019	Bayesian Inference	—Unverified	0
Accelerated MM Algorithms for Ranking Scores Inference from Comparison Data	Jan 1, 2019	Bayesian Inference	CodeCode Available	0
Probabilistic Streaming Tensor Decomposition	Dec 31, 2018	Bayesian InferenceTensor Decomposition	CodeCode Available	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