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 401–425 of 2226 papers

Title	Date	Tasks	Status	Score
Batch Bayesian optimisation via density-ratio estimation with guarantees	Sep 22, 2022	Bayesian InferenceBayesian Optimisation	CodeCode Available	5
BAST: Bayesian Additive Regression Spanning Trees for Complex Constrained Domain	Dec 1, 2021	Bayesian Inferenceregression	CodeCode Available	5
Demonstrating the Continual Learning Capabilities and Practical Application of Discrete-Time Active Inference	Sep 30, 2024	Bayesian InferenceContinual Learning	CodeCode Available	5
Functional Ensemble Distillation	Jun 5, 2022	Bayesian Inference	CodeCode Available	5
A Novel Deterministic Framework for Non-probabilistic Recommender Systems	Sep 2, 2018	Bayesian InferenceCollaborative Filtering	CodeCode Available	5
Functional Variational Bayesian Neural Networks	Mar 14, 2019	Bayesian InferenceGaussian Processes	CodeCode Available	5
Deep Neural Networks as Gaussian Processes	Nov 1, 2017	Bayesian InferenceGaussian Processes	CodeCode Available	5
Deep learning and MCMC with aggVAE for shifting administrative boundaries: mapping malaria prevalence in Kenya	May 31, 2023	Bayesian Inference	CodeCode Available	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	5
Gaussian Process Priors for Dynamic Paired Comparison Modelling	Feb 20, 2019	Bayesian InferenceBayesian Optimisation	CodeCode Available	5
Benchmarking Deep Learning Architectures for Predicting Readmission to the ICU and Describing Patients-at-Risk	May 21, 2019	Bayesian InferenceBenchmarking	CodeCode Available	5
Bayesian Inference Forgetting	Jan 16, 2021	Bayesian InferenceVariational Inference	CodeCode Available	5
Generalized Posteriors in Approximate Bayesian Computation	Nov 17, 2020	Bayesian Inference	CodeCode Available	5
Generalized Variational Inference: Three arguments for deriving new Posteriors	Apr 3, 2019	Bayesian InferenceGaussian Processes	CodeCode Available	5
Bandit Learning with Implicit Feedback	Dec 1, 2018	Bayesian InferenceThompson Sampling	CodeCode Available	5
Deep Bayesian inference for seismic imaging with tasks	Oct 10, 2021	Bayesian InferenceInductive Bias	CodeCode Available	5
Deep Bayesian Structure Networks	Sep 25, 2019	Bayesian InferenceNeural Architecture Search	CodeCode Available	5
Extended molt phenology models improve inferences about molt duration and timing	May 24, 2022	Bayesian Inference	CodeCode Available	5
A digital twin framework for civil engineering structures	Aug 2, 2023	Bayesian InferenceCantilever Beam	CodeCode Available	5
Hierarchical Bayesian inference for community detection and connectivity of functional brain networks	Jan 18, 2023	Bayesian InferenceCommunity Detection	CodeCode Available	5
HINT: Hierarchical Invertible Neural Transport for Density Estimation and Bayesian Inference	May 25, 2019	Bayesian InferenceDensity Estimation	CodeCode Available	5
Impression learning: Online representation learning with synaptic plasticity	Dec 1, 2021	Bayesian InferenceRepresentation Learning	CodeCode Available	5
Bayesian inference for PCA and MUSIC algorithms with unknown number of sources	Sep 26, 2018	Bayesian Inference	CodeCode Available	5
A Dirichlet Mixture Model of Hawkes Processes for Event Sequence Clustering	Jan 31, 2017	Bayesian InferenceClustering	CodeCode Available	5
Deep Learning and genetic algorithms for cosmological Bayesian inference speed-up	May 6, 2024	Bayesian InferenceHyperparameter Optimization	CodeCode Available	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