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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 2021–2030 of 2226 papers

Title	Date	Tasks	Status	Hype
Biologically Inspired Dynamic Textures for Probing Motion Perception	Nov 9, 2015	Bayesian Inference	—Unverified	0
Bayesian Inference in Cumulative Distribution Fields	Nov 9, 2015	Bayesian Inference	—Unverified	0
Toward Biochemical Probabilistic Computation	Nov 9, 2015	Bayesian Inference	—Unverified	0
Time-Sensitive Bayesian Information Aggregation for Crowdsourcing Systems	Oct 21, 2015	Bayesian InferenceEntity Linking	—Unverified	0
Bayesian Inference of Online Social Network Statistics via Lightweight Random Walk Crawls	Oct 19, 2015	Bayesian Inference	—Unverified	0
Distilling Model Knowledge	Oct 8, 2015	Bayesian InferenceBIG-bench Machine Learning	CodeCode Available	0
Bayesian Inference via Approximation of Log-likelihood for Priors in Exponential Family	Oct 5, 2015	Bayesian Inference	—Unverified	0
Tractable Fully Bayesian Inference via Convex Optimization and Optimal Transport Theory	Sep 29, 2015	Bayesian InferenceSleep Staging	—Unverified	0
Unbiased Bayesian Inference for Population Markov Jump Processes via Random Truncations	Sep 28, 2015	Bayesian Inference	CodeCode Available	0
A Simulated Annealing Approach to Bayesian Inference	Sep 17, 2015	Bayesian Inference	—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