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Bayesian Inference

Bayesian Inference is a methodology that employs Bayes Rule to estimate parameters (and their full posterior).

Papers

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Showing 161–170 of 2226 papers

Title	Date	Tasks	Status	Hype
Complete parameter inference for GW150914 using deep learning	Aug 7, 2020	Bayesian InferenceDeep Learning	CodeCode Available	1
Lifelong Incremental Reinforcement Learning with Online Bayesian Inference	Jul 28, 2020	Bayesian InferenceClustering	CodeCode Available	1
Daily Forecasting of New Cases for Regional Epidemics of Coronavirus Disease 2019 with Bayesian Uncertainty Quantification	Jul 20, 2020	Bayesian InferenceUncertainty Quantification	CodeCode Available	1
State Space Expectation Propagation: Efficient Inference Schemes for Temporal Gaussian Processes	Jul 12, 2020	Bayesian InferenceComputational Efficiency	CodeCode Available	1
Fast and Accurate Forecasting of COVID-19 Deaths Using the SIkJα Model	Jul 10, 2020	Bayesian Inference	CodeCode Available	1
URSABench: Comprehensive Benchmarking of Approximate Bayesian Inference Methods for Deep Neural Networks	Jul 8, 2020	Bayesian InferenceBenchmarking	CodeCode Available	1
Bayesian Coresets: Revisiting the Nonconvex Optimization Perspective	Jul 1, 2020	Bayesian Inference	CodeCode Available	1
Multi-marginal optimal transport and probabilistic graphical models	Jun 25, 2020	Bayesian Inference	CodeCode Available	1
Variational Bayesian Monte Carlo with Noisy Likelihoods	Jun 15, 2020	Bayesian Inference	CodeCode Available	1
Online Bayesian Goal Inference for Boundedly-Rational Planning Agents	Jun 13, 2020	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