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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 2111–2120 of 2226 papers

Title	Date	Tasks	Status	Hype
Approximate Decentralized Bayesian Inference	Mar 28, 2014	Bayesian InferenceVariational Inference	—Unverified	0
Firefly Monte Carlo: Exact MCMC with Subsets of Data	Mar 22, 2014	Bayesian Inference	—Unverified	0
Particle methods enable fast and simple approximation of Sobolev gradients in image segmentation	Mar 2, 2014	Bayesian InferenceImage Segmentation	—Unverified	0
Marginalizing Corrupted Features	Feb 27, 2014	Bayesian Inference	—Unverified	0
Scaling Nonparametric Bayesian Inference via Subsample-Annealing	Feb 22, 2014	Bayesian InferenceClustering	—Unverified	0
Building fast Bayesian computing machines out of intentionally stochastic, digital parts	Feb 20, 2014	Bayesian Inference	—Unverified	0
Bayesian Inference for NMR Spectroscopy with Applications to Chemical Quantification	Feb 14, 2014	Bayesian InferenceSensitivity	—Unverified	0
The Informed Sampler: A Discriminative Approach to Bayesian Inference in Generative Computer Vision Models	Feb 4, 2014	Bayesian Inference	CodeCode Available	0
Bayesian CP Factorization of Incomplete Tensors with Automatic Rank Determination	Jan 25, 2014	Bayesian InferenceImage Generation	CodeCode Available	0
Stochastic Backpropagation and Approximate Inference in Deep Generative Models	Jan 16, 2014	Bayesian Inference	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