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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 381–390 of 2226 papers

Title	Date	Tasks	Status	Hype	Score
Differentially Private Bayesian Inference for Exponential Families	Sep 6, 2018	Bayesian Inference	CodeCode Available	0	5
Detecting Model Misspecification in Amortized Bayesian Inference with Neural Networks	Dec 16, 2021	Bayesian InferenceDecision Making	CodeCode Available	0	5
Amortized Variational Inference: When and Why?	Jul 20, 2023	Bayesian InferenceGaussian Processes	CodeCode Available	0	5
Deep surrogate accelerated delayed-acceptance HMC for Bayesian inference of spatio-temporal heat fluxes in rotating disc systems	Apr 5, 2022	Bayesian Inference	CodeCode Available	0	5
Greedy inference with structure-exploiting lazy maps	May 31, 2019	Bayesian Inference	CodeCode Available	0	5
Exploring helical dynamos with machine learning	May 20, 2019	Bayesian InferenceBIG-bench Machine Learning	CodeCode Available	0	5
Baxter Permutation Process	Dec 1, 2020	Bayesian Inference	CodeCode Available	0	5
Deep learning and MCMC with aggVAE for shifting administrative boundaries: mapping malaria prevalence in Kenya	May 31, 2023	Bayesian Inference	CodeCode Available	0	5
Bayesian Hierarchical Dynamic Model for Human Action Recognition	Jun 1, 2019	Action RecognitionBayesian Inference	CodeCode Available	0	5
Non-Programmers Can Label Programs Indirectly via Active Examples: A Case Study with Text-to-SQL	May 25, 2022	Bayesian InferenceText to SQL	CodeCode Available	0	5

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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