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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 641–650 of 2226 papers

Title	Date	Tasks	Status	Hype	Score
Invariant polynomials and machine learning	Apr 26, 2021	Bayesian InferenceBIG-bench Machine Learning	CodeCode Available	0	5
Inverse decision-making using neural amortized Bayesian actors	Sep 4, 2024	AttributeBayesian Inference	CodeCode Available	0	5
Bandit Learning with Implicit Feedback	Dec 1, 2018	Bayesian InferenceThompson Sampling	CodeCode Available	0	5
Kernel embedding of maps for sequential Bayesian inference: The variational mapping particle filter	May 29, 2018	Bayesian InferenceSequential Bayesian Inference	CodeCode Available	0	5
Kernel Stein Discrepancy thinning: a theoretical perspective of pathologies and a practical fix with regularization	Jan 31, 2023	Bayesian Inference	CodeCode Available	0	5
Data Subsampling for Bayesian Neural Networks	Oct 17, 2022	Bayesian InferenceFederated Learning	CodeCode Available	0	5
deBInfer: Bayesian inference for dynamical models of biological systems in R	Oct 15, 2016	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
Latent Optimal Paths by Gumbel Propagation for Variational Bayesian Dynamic Programming	Jun 5, 2023	Bayesian InferenceSinging Voice Synthesis	CodeCode Available	0	5
CrossCat: A Fully Bayesian Nonparametric Method for Analyzing Heterogeneous, High Dimensional Data	Dec 3, 2015	Bayesian InferenceCommon Sense Reasoning	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