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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 1221–1230 of 2226 papers

Title	Date	Tasks	Status	Hype
Bayesian Pseudocoresets	Dec 1, 2020	Bayesian Inference	CodeCode Available	0
Online Bayesian Goal Inference for Boundedly Rational Planning Agents	Dec 1, 2020	Bayesian Inference	—Unverified	0
Generalised Bayesian Filtering via Sequential Monte Carlo	Dec 1, 2020	Bayesian InferenceObject Tracking	—Unverified	0
Bidirectional Convolutional Poisson Gamma Dynamical Systems	Dec 1, 2020	Bayesian InferenceSentence	CodeCode Available	0
Baxter Permutation Process	Dec 1, 2020	Bayesian Inference	CodeCode Available	0
Bayesian Causal Structural Learning with Zero-Inflated Poisson Bayesian Networks	Dec 1, 2020	Bayesian Inference	—Unverified	0
Towards constraining warm dark matter with stellar streams through neural simulation-based inference	Nov 30, 2020	Bayesian Inference	CodeCode Available	1
Simulation-efficient marginal posterior estimation with swyft: stop wasting your precious time	Nov 27, 2020	AstronomyBayesian Inference	CodeCode Available	1
Distributed Variational Bayesian Algorithms Over Sensor Networks	Nov 27, 2020	Bayesian Inference	—Unverified	0
Free Energy Minimization: A Unified Framework for Modelling, Inference, Learning,and Optimization	Nov 25, 2020	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