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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 1701–1725 of 2226 papers

TitleStatusHype
Data Subsampling for Bayesian Neural NetworksCode0
Measuring Uncertainty through Bayesian Learning of Deep Neural Network StructureCode0
Debiased Bayesian inference for average treatment effectsCode0
deBInfer: Bayesian inference for dynamical models of biological systems in RCode0
Predictive, scalable and interpretable knowledge tracing on structured domainsCode0
The Deep Weight PriorCode0
Learning Bayesian posteriors with neural networks for gravitational-wave inferenceCode0
Bayesian parameter estimation using conditional variational autoencoders for gravitational-wave astronomyCode0
A Novel Deterministic Framework for Non-probabilistic Recommender SystemsCode0
Simulation-based inference for stochastic nonlinear mixed-effects models with applications in systems biologyCode0
Simulation-Based Inference of Surface Accumulation and Basal Melt Rates of an Antarctic Ice Shelf from Isochronal LayersCode0
Learning Differentiable Particle Filter on the FlyCode0
Bayesian Conditional Density FilteringCode0
Deep Active Inference as Variational Policy GradientsCode0
Simulation-based Inference for High-dimensional Data using Surjective Sequential Neural Likelihood EstimationCode0
Uncertainty-based Offline Variational Bayesian Reinforcement Learning for Robustness under Diverse Data CorruptionsCode0
Deep Bayesian inference for seismic imaging with tasksCode0
Deep Bayesian Structure NetworksCode0
Data-driven Approach for Interpolation of Sparse DataCode0
Annealed Stein Variational Gradient Descent for Improved Uncertainty Estimation in Full-Waveform InversionCode0
Bayesian causal discovery from unknown general interventionsCode0
Bayesian Online Natural Gradient (BONG)Code0
Accelerated Information Gradient flowCode0
CrossCat: A Fully Bayesian Nonparametric Method for Analyzing Heterogeneous, High Dimensional DataCode0
Simultaneous identification of models and parameters of scientific simulatorsCode0
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Benchmark Results

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