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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 1776–1800 of 2226 papers

TitleStatusHype
Uncertainty Estimations by Softplus normalization in Bayesian Convolutional Neural Networks with Variational InferenceCode0
Reconstructing networks with unknown and heterogeneous errors—0
Doubly Robust Bayesian Inference for Non-Stationary Streaming Data with β-DivergencesCode0
Cycle-Consistent Adversarial Learning as Approximate Bayesian Inference—0
Inference Aided Reinforcement Learning for Incentive Mechanism Design in Crowdsourcing—0
Bayesian Inference with Anchored Ensembles of Neural Networks, and Application to Exploration in Reinforcement LearningCode0
Efficient Bayesian Inference for a Gaussian Process Density Model—0
Kernel embedding of maps for sequential Bayesian inference: The variational mapping particle filterCode0
Wasserstein Variational Inference—0
Semi-Implicit Variational InferenceCode0
Myopic Bayesian Design of Experiments via Posterior Sampling and Probabilistic ProgrammingCode0
Likelihood-free inference with emulator networksCode0
Scalable Bayesian Learning for State Space Models using Variational Inference with SMC Samplers—0
Bayesian Inference of Regular Expressions from Human-Generated Example Strings—0
Bayesian posterior approximation via greedy particle optimization—0
DLBI: Deep learning guided Bayesian inference for structure reconstruction of super-resolution fluorescence microscopyCode0
Nonparametric Bayesian Deep Networks with Local CompetitionCode0
Approximate Bayesian inference in spatial environments—0
Bayesian Joint Spike-and-Slab Graphical LassoCode0
Wasserstein Measure Coresets—0
Spatial Uncertainty Sampling for End-to-End Control—0
Improving Predictive Uncertainty Estimation using Dropout -- Hamiltonian Monte Carlo—0
Subsampling Sequential Monte Carlo for Static Bayesian Models—0
Bayeslands: A Bayesian inference approach for parameter uncertainty quantification in BadlandsCode0
A Channel-based Exact Inference Algorithm for Bayesian Networks—0
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Benchmark Results

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