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 1701–1725 of 2226 papers

Title	Date	Tasks	Status	Hype
Bayesian State Estimation for Unobservable Distribution Systems via Deep Learning	Nov 7, 2018	Bayesian InferenceDeep Learning	—Unverified	0
Mean-field theory of graph neural networks in graph partitioning	Oct 29, 2018	Bayesian InferenceGeneral Classification	—Unverified	0
Towards Principled Uncertainty Estimation for Deep Neural Networks	Oct 29, 2018	Bayesian Inference	—Unverified	0
Learning and Inference in Hilbert Space with Quantum Graphical Models	Oct 29, 2018	Bayesian Inference	—Unverified	0
Clustering Time Series with Nonlinear Dynamics: A Bayesian Non-Parametric and Particle-Based Approach	Oct 23, 2018	Bayesian InferenceClustering	—Unverified	0
Dynamic Likelihood-free Inference via Ratio Estimation (DIRE)	Oct 23, 2018	Bayesian InferenceTime Series	—Unverified	0
Stochastic Gradient MCMC for State Space Models	Oct 22, 2018	Bayesian InferenceState Space Models	CodeCode Available	0
Good Initializations of Variational Bayes for Deep Models	Oct 18, 2018	Bayesian InferenceGeneral Classification	—Unverified	0
EMHMM Simulation Study	Oct 17, 2018	Bayesian Inference	—Unverified	0
The Deep Weight Prior	Oct 16, 2018	Bayesian InferenceVariational Inference	CodeCode Available	0
Metropolis-Hastings view on variational inference and adversarial training	Oct 16, 2018	Bayesian InferenceVariational Inference	—Unverified	0
Bayesian Inference of Self-intention Attributed by Observer	Oct 12, 2018	AttributeBayesian Inference	—Unverified	0
Variational Bayesian Monte Carlo	Oct 12, 2018	Bayesian InferenceModel Selection	CodeCode Available	1
Uncertainty in Neural Networks: Approximately Bayesian Ensembling	Oct 12, 2018	Bayesian InferenceGeneral Classification	CodeCode Available	0
Dropout as a Structured Shrinkage Prior	Oct 9, 2018	Bayesian Inference	CodeCode Available	0
An easy-to-use empirical likelihood ABC method	Oct 3, 2018	Bayesian Inference	—Unverified	0
Sketching for Latent Dirichlet-Categorical Models	Oct 2, 2018	Bayesian Inference	—Unverified	0
Uncertainty-aware generative models for inferring document class prevalence	Oct 1, 2018	Bayesian InferenceEpidemiology	CodeCode Available	0
Bayesian Prediction of Future Street Scenes using Synthetic Likelihoods	Oct 1, 2018	Bayesian InferenceDiversity	CodeCode Available	0
Variational Bayesian Inference for Audio-Visual Tracking of Multiple Speakers	Sep 28, 2018	Bayesian InferenceVariational Inference	—Unverified	0
Adaptive Gaussian process surrogates for Bayesian inference	Sep 27, 2018	Bayesian Inferenceglobal-optimization	—Unverified	0
Bayesian inference for PCA and MUSIC algorithms with unknown number of sources	Sep 26, 2018	Bayesian Inference	CodeCode Available	0
Practical bounds on the error of Bayesian posterior approximations: A nonasymptotic approach	Sep 25, 2018	Bayesian InferenceVariational Inference	—Unverified	0
Flexible Mixture Modeling on Constrained Spaces	Sep 24, 2018	Bayesian InferenceData Augmentation	—Unverified	0
Stochasticity from function -- why the Bayesian brain may need no noise	Sep 21, 2018	Bayesian Inference	—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