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 601–625 of 2226 papers

Title	Date	Tasks	Status	Score
Black-box Coreset Variational Inference	Nov 4, 2022	Bayesian InferenceData Summarization	CodeCode Available	5
Black-box density function estimation using recursive partitioning	Oct 26, 2020	Bayesian Inference	CodeCode Available	5
A stochastic Stein Variational Newton method	Apr 19, 2022	Bayesian Inference	CodeCode Available	5
Blang: Bayesian declarative modelling of general data structures and inference via algorithms based on distribution continua	Dec 22, 2019	Bayesian Inference	CodeCode Available	5
Bayesian regression and Bitcoin	Oct 6, 2014	Bayesian InferenceBinary Classification	CodeCode Available	5
Detecting structural perturbations from time series with deep learning	Jun 9, 2020	Bayesian InferenceDeep Learning	CodeCode Available	5
Bayesian reconstruction of memories stored in neural networks from their connectivity	May 16, 2021	Bayesian Inference	CodeCode Available	5
Deep Neural Networks as Gaussian Processes	Nov 1, 2017	Bayesian InferenceGaussian Processes	CodeCode Available	5
Automated Scalable Bayesian Inference via Hilbert Coresets	Oct 13, 2017	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
Bayesian Pseudocoresets	Dec 1, 2020	Bayesian Inference	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
Demonstrating the Continual Learning Capabilities and Practical Application of Discrete-Time Active Inference	Sep 30, 2024	Bayesian InferenceContinual Learning	CodeCode Available	5
BRUNO: A Deep Recurrent Model for Exchangeable Data	Feb 21, 2018	Anomaly DetectionBayesian Inference	CodeCode Available	5
Development of Use-specific High Performance Cyber-Nanomaterial Optical Detectors by Effective Choice of Machine Learning Algorithms	Dec 26, 2019	Bayesian Inference	CodeCode Available	5
Efficient Bayesian Inference of Sigmoidal Gaussian Cox Processes	Aug 2, 2018	Bayesian Inference	CodeCode Available	5
Deep Active Inference as Variational Policy Gradients	Jul 8, 2019	Bayesian Inferencereinforcement-learning	CodeCode Available	5
deBInfer: Bayesian inference for dynamical models of biological systems in R	Oct 15, 2016	Bayesian Inference	CodeCode Available	5
Deep Bayesian inference for seismic imaging with tasks	Oct 10, 2021	Bayesian InferenceInductive Bias	CodeCode Available	5
Calibrated One Round Federated Learning with Bayesian Inference in the Predictive Space	Dec 15, 2023	Bayesian InferenceFederated Learning	CodeCode Available	5
Measuring Uncertainty through Bayesian Learning of Deep Neural Network Structure	Nov 22, 2019	Bayesian InferenceNeural Architecture Search	CodeCode Available	5
Calibrating Neural Simulation-Based Inference with Differentiable Coverage Probability	Oct 20, 2023	Bayesian InferenceUncertainty Quantification	CodeCode Available	5
Bayesian Prediction of Future Street Scenes using Synthetic Likelihoods	Oct 1, 2018	Bayesian InferenceDiversity	CodeCode Available	5
Debiased Bayesian inference for average treatment effects	Sep 26, 2019	Bayesian InferenceCausal Inference	CodeCode Available	5
Deep Bayesian Structure Networks	Sep 25, 2019	Bayesian InferenceNeural Architecture Search	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