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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 1926–1950 of 2226 papers

TitleStatusHype
Bayesian System Identification based on Hierarchical Sparse Bayesian Learning and Gibbs Sampling with Application to Structural Damage Assessment—0
Bone fusion in normal and pathological development is constrained by the network architecture of the human skull—0
Adversarial Message Passing For Graphical Models—0
Expectation Propagation performs a smoothed gradient descent—0
A Probabilistic Model of Social Decision Making based on Reward Maximization—0
Stochastic Gradient Richardson-Romberg Markov Chain Monte Carlo—0
Multi-view Anomaly Detection via Robust Probabilistic Latent Variable Models—0
Finite-Dimensional BFRY Priors and Variational Bayesian Inference for Power Law Models—0
A Non-parametric Learning Method for Confidently Estimating Patient's Clinical State and Dynamics—0
Efficient Likelihood Bayesian Constrained Local Model—0
Adams Conditioning and Likelihood Ratio Transfer Mediated Inference—0
The Recycling Gibbs Sampler for Efficient Learning—0
Generalized Dropout—0
Learning an Astronomical Catalog of the Visible Universe through Scalable Bayesian Inference—0
Bayesian Modeling of Motion Perception using Dynamical Stochastic Textures—0
Variational Bayes In Private Settings (VIPS)Code0
Fuzzy Bayesian LearningCode0
Operator Variational Inference—0
Joint Target Detection and Tracking in Multipath Environment: A Variational Bayesian Approach—0
Body movement to sound interface with vector autoregressive hierarchical hidden Markov models—0
Bayesian latent structure discovery from multi-neuron recordingsCode0
Recurrent switching linear dynamical systemsCode0
Stochastic inference with spiking neurons in the high-conductance state—0
Reparameterization Gradients through Acceptance-Rejection Sampling AlgorithmsCode0
Spatio-temporal Gaussian processes modeling of dynamical systems in systems biology—0
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Benchmark Results

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