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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 2051–2060 of 2226 papers

Title	Date	Tasks	Status	Hype
Parallelizing MCMC with Random Partition Trees	Jun 10, 2015	Bayesian Inference	CodeCode Available	0
Automatic Variational Inference in Stan	Jun 10, 2015	Bayesian InferenceProbabilistic Programming	—Unverified	0
Provable Bayesian Inference via Particle Mirror Descent	Jun 9, 2015	Bayesian InferenceGaussian Processes	—Unverified	0
Gradient-free Hamiltonian Monte Carlo with Efficient Kernel Exponential Families	Jun 8, 2015	Bayesian Inference	CodeCode Available	0
Bayesian Inference for Neighborhood Filters With Application in Denoising	Jun 1, 2015	Bayesian InferenceColor Image Denoising	—Unverified	0
Real-Time Part-Based Visual Tracking via Adaptive Correlation Filters	Jun 1, 2015	Bayesian InferenceObject Tracking	—Unverified	0
A Bounded p-norm Approximation of Max-Convolution for Sub-Quadratic Bayesian Inference on Additive Factors	May 28, 2015	Bayesian Inference	—Unverified	0
Salient Structure Detection by Context-Guided Visual Search	May 17, 2015	Bayesian InferenceObject	—Unverified	0
On Markov chain Monte Carlo methods for tall data	May 11, 2015	Bayesian Inference	CodeCode Available	0
Formalizing Preference Utilitarianism in Physical World Models	Apr 21, 2015	Bayesian InferenceEthics	—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