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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 201–210 of 2226 papers

Title	Date	Tasks	Status	Hype
Variational Bayesian Monte Carlo	Oct 12, 2018	Bayesian InferenceModel Selection	CodeCode Available	1
Scalable Gaussian Processes with Grid-Structured Eigenfunctions (GP-GRIEF)	Jul 5, 2018	Bayesian InferenceGaussian Processes	CodeCode Available	1
Understanding and Accelerating Particle-Based Variational Inference	Jul 4, 2018	Bayesian InferenceVariational Inference	CodeCode Available	1
Sequential Neural Likelihood: Fast Likelihood-free Inference with Autoregressive Flows	May 18, 2018	Bayesian Inference	CodeCode Available	1
Variational Autoencoders for Collaborative Filtering	Feb 16, 2018	Bayesian InferenceCollaborative Filtering	CodeCode Available	1
Parallel Streaming Wasserstein Barycenters	May 21, 2017	Bayesian Inference	CodeCode Available	1
Differentially Private Variational Inference for Non-conjugate Models	Oct 27, 2016	Bayesian InferenceVariational Inference	CodeCode Available	1
BioEM: GPU-accelerated computing of Bayesian inference of electron microscopy images	Sep 21, 2016	Bayesian InferenceCPU	CodeCode Available	1
Stein Variational Gradient Descent: A General Purpose Bayesian Inference Algorithm	Aug 16, 2016	Bayesian InferenceVariational Inference	CodeCode Available	1
The Population Posterior and Bayesian Inference on Streams	Jul 19, 2015	Bayesian Inference	CodeCode Available	1

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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