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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 201–210 of 2226 papers

Title	Date	Tasks	Status	Hype
Repulsive Deep Ensembles are Bayesian	Jun 22, 2021	Bayesian InferenceDiversity	CodeCode Available	1
RNN with Particle Flow for Probabilistic Spatio-temporal Forecasting	Jun 10, 2021	Bayesian InferenceSpatio-Temporal Forecasting	CodeCode Available	1
Robust Outlier Rejection for 3D Registration with Variational Bayes	Apr 4, 2023	Bayesian Inference	CodeCode Available	1
Safe Imitation Learning via Fast Bayesian Reward Inference from Preferences	Feb 21, 2020	Atari GamesBayesian Inference	CodeCode Available	1
Enriching ImageNet with Human Similarity Judgments and Psychological Embeddings	Nov 22, 2020	Bayesian InferenceObject Recognition	CodeCode Available	1
Scalable Bayesian Inference for Detection and Deblending in Astronomical Images	Jul 12, 2022	Bayesian InferenceGPU	CodeCode Available	1
Plug-and-Play split Gibbs sampler: embedding deep generative priors in Bayesian inference	Apr 21, 2023	Bayesian InferenceDenoising	CodeCode Available	1
Antipodes of Label Differential Privacy: PATE and ALIBI	Jun 7, 2021	Bayesian InferenceMemorization	CodeCode Available	1
Score Matched Neural Exponential Families for Likelihood-Free Inference	Dec 20, 2020	Bayesian InferenceTime Series	CodeCode Available	1
Variational Item Response Theory: Fast, Accurate, and Expressive	Feb 1, 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