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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 161–170 of 2226 papers

Title	Date	Tasks	Status	Hype
Efficient Online Bayesian Inference for Neural Bandits	Dec 1, 2021	Bayesian InferenceRecommendation Systems	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
Eryn : A multi-purpose sampler for Bayesian inference	Mar 3, 2023	AstronomyBayesian Inference	CodeCode Available	1
Amortized Monte Carlo Integration	Jul 18, 2019	Bayesian Inference	CodeCode Available	1
Exact Bayesian Inference on Discrete Models via Probability Generating Functions: A Probabilistic Programming Approach	May 26, 2023	Bayesian InferenceProbabilistic Programming	CodeCode Available	1
Amortizing intractable inference in large language models	Oct 6, 2023	Bayesian InferenceDiversity	CodeCode Available	1
Automatic Rao-Blackwellization for Sequential Monte Carlo with Belief Propagation	Dec 15, 2023	Bayesian InferenceState Space Models	CodeCode Available	1
FedBE: Making Bayesian Model Ensemble Applicable to Federated Learning	Sep 4, 2020	Bayesian InferenceFederated Learning	CodeCode Available	1
Flexible Bayesian Nonlinear Model Configuration	Mar 5, 2020	Bayesian Inferencemodel	CodeCode Available	1
Bayesian differential programming for robust systems identification under uncertainty	Apr 15, 2020	Bayesian InferenceModel Discovery	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