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 1501–1525 of 2226 papers

Title	Date	Tasks	Status	Hype
Stochastic triangular mesh mapping: A terrain mapping technique for autonomous mobile robots	Oct 8, 2019	Bayesian Inference	—Unverified	0
Evaluating Scalable Uncertainty Estimation Methods for DNN-Based Molecular Property Prediction	Oct 7, 2019	Bayesian InferenceMolecular Property Prediction	—Unverified	0
Bayesian Learning-Based Adaptive Control for Safety Critical Systems	Oct 5, 2019	Autonomous VehiclesBayesian Inference	CodeCode Available	0
Nonasymptotic estimates for Stochastic Gradient Langevin Dynamics under local conditions in nonconvex optimization	Oct 4, 2019	Bayesian InferenceVariational Inference	—Unverified	0
Inference of a mesoscopic population model from population spike trains	Oct 3, 2019	Bayesian Inference	CodeCode Available	0
A deep surrogate approach to efficient Bayesian inversion in PDE and integral equation models	Oct 3, 2019	Bayesian InferenceDeep Learning	—Unverified	0
The Neural Moving Average Model for Scalable Variational Inference of State Space Models	Oct 2, 2019	Bayesian InferenceNormalising Flows	CodeCode Available	0
Bayesian Graph Convolution LSTM for Skeleton Based Action Recognition	Oct 1, 2019	Action RecognitionAnatomy	—Unverified	0
Uncertainty-Aware Audiovisual Activity Recognition Using Deep Bayesian Variational Inference	Oct 1, 2019	Activity RecognitionBayesian Inference	—Unverified	0
Non-Gaussian processes and neural networks at finite widths	Sep 30, 2019	Bayesian InferenceGaussian Processes	—Unverified	0
Well-calibrated Model Uncertainty with Temperature Scaling for Dropout Variational Inference	Sep 30, 2019	Bayesian InferenceVariational Inference	CodeCode Available	1
Debiased Bayesian inference for average treatment effects	Sep 26, 2019	Bayesian InferenceCausal Inference	CodeCode Available	0
Accelerating Monte Carlo Bayesian Inference via Approximating Predictive Uncertainty over the Simplex	Sep 25, 2019	Adversarial AttackBayesian Inference	—Unverified	0
Meta-Learning for Variational Inference	Sep 25, 2019	Bayesian InferenceComputational Efficiency	—Unverified	0
Mixture Distributions for Scalable Bayesian Inference	Sep 25, 2019	Bayesian Inference	—Unverified	0
Learning Curves for Deep Neural Networks: A field theory perspective	Sep 25, 2019	Bayesian Inference	—Unverified	0
Gaussian Process Meta-Representations Of Neural Networks	Sep 25, 2019	Active LearningBayesian Inference	—Unverified	0
On the Parameterization of Gaussian Mean Field Posteriors in Bayesian Neural Networks	Sep 25, 2019	Bayesian InferenceVariational Inference	—Unverified	0
Quantifying uncertainty with GAN-based priors	Sep 25, 2019	Bayesian InferenceGenerative Adversarial Network	—Unverified	0
Refining the variational posterior through iterative optimization	Sep 25, 2019	Bayesian InferenceVariational Inference	—Unverified	0
Deep Bayesian Structure Networks	Sep 25, 2019	Bayesian InferenceNeural Architecture Search	CodeCode Available	0
bamlss: A Lego Toolbox for Flexible Bayesian Regression (and Beyond)	Sep 25, 2019	Additive modelsBayesian Inference	—Unverified	0
A Peek into the Unobservable: Hidden States and Bayesian Inference for the Bitcoin and Ether Price Series	Sep 24, 2019	Bayesian Inference	—Unverified	0
Uncertainty Quantification with Statistical Guarantees in End-to-End Autonomous Driving Control	Sep 21, 2019	Autonomous DrivingBayesian Inference	—Unverified	0
Learn to Estimate Labels Uncertainty for Quality Assurance	Sep 17, 2019	Bayesian InferenceDeep Learning	—Unverified	0

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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