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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 181–190 of 2226 papers

Title	Date	Tasks	Status	Hype
A Bayesian algorithm for retrosynthesis	Mar 6, 2020	Bayesian InferenceCombinatorial Optimization	CodeCode Available	1
Flexible Bayesian Nonlinear Model Configuration	Mar 5, 2020	Bayesian Inferencemodel	CodeCode Available	1
Being Bayesian, Even Just a Bit, Fixes Overconfidence in ReLU Networks	Feb 24, 2020	Bayesian Inference	CodeCode Available	1
Safe Imitation Learning via Fast Bayesian Reward Inference from Preferences	Feb 21, 2020	Atari GamesBayesian Inference	CodeCode Available	1
πVAE: a stochastic process prior for Bayesian deep learning with MCMC	Feb 17, 2020	Bayesian InferenceComputational Efficiency	CodeCode Available	1
Domain Adaptation as a Problem of Inference on Graphical Models	Feb 9, 2020	Bayesian InferenceDomain Adaptation	CodeCode Available	1
Projected Stein Variational Gradient Descent	Feb 9, 2020	Bayesian Inference	CodeCode Available	1
Variational Item Response Theory: Fast, Accurate, and Expressive	Feb 1, 2020	Bayesian Inference	CodeCode Available	1
Embedding physics domain knowledge into a Bayesian network enables layer-by-layer process innovation for photovoltaics	Jan 31, 2020	Bayesian InferencePhysical Simulations	CodeCode Available	1
Well-Calibrated Regression Uncertainty in Medical Imaging with Deep Learning	Jan 25, 2020	Bayesian InferenceDeep Learning	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