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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 1326–1350 of 2226 papers

TitleStatusHype
AutoBayes: Automated Bayesian Graph Exploration for Nuisance-Robust Inference—0
Deep reinforcement learning driven inspection and maintenance planning under incomplete information and constraints—0
Bayesian Coresets: Revisiting the Nonconvex Optimization PerspectiveCode1
Decentralized Stochastic Gradient Langevin Dynamics and Hamiltonian Monte Carlo—0
Bayesian Low Rank Tensor Ring Model for Image Completion—0
Unlabelled Data Improves Bayesian Uncertainty Calibration under Covariate Shift—0
Multi-marginal optimal transport and probabilistic graphical modelsCode1
The principles of adaptation in organisms and machines II: Thermodynamics of the Bayesian brain—0
Constraining subglacial processes from surface velocity observations using surrogate-based Bayesian inference—0
Stacking for Non-mixing Bayesian Computations: The Curse and Blessing of Multimodal PosteriorsCode0
Calibration of Model Uncertainty for Dropout Variational Inference—0
Learning to infer in recurrent biological networksCode0
Solving Differential Equations Using Neural Network Solution Bundles—0
Variational State-Space Models for Localisation and Dense 3D Mapping in 6 DoF—0
Hidden Markov Models Applied To Intraday Momentum Trading With Side Information—0
Deep Autoencoding Topic Model with Scalable Hybrid Bayesian Inference—0
Variational Bayesian Monte Carlo with Noisy LikelihoodsCode1
Online Bayesian Goal Inference for Boundedly-Rational Planning AgentsCode1
Faster MCMC for Gaussian Latent Position Network ModelsCode0
Scalable Control Variates for Monte Carlo Methods via Stochastic Optimization—0
Approximate Inference for Spectral Mixture Kernel—0
Detecting structural perturbations from time series with deep learningCode0
Variational Auto-Regressive Gaussian Processes for Continual LearningCode1
Probabilistic AutoencoderCode1
A Variational View on Bootstrap Ensembles as Bayesian Inference—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1F-SWAAccuracy83.61—Unverified
2F-SWAGAccuracy80.93—Unverified