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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 1721–1730 of 2226 papers

TitleStatusHype
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
Learning of Weighted Multi-layer Networks via Dynamic Social Spaces, with Application to Financial Interbank TransactionsCode0
The Exact Asymptotic Form of Bayesian Generalization Error in Latent Dirichlet AllocationCode0
Deep Learning and genetic algorithms for cosmological Bayesian inference speed-upCode0
Deep learning and MCMC with aggVAE for shifting administrative boundaries: mapping malaria prevalence in KenyaCode0
Efficient Gradient Flows in Sliced-Wasserstein SpaceCode0
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Benchmark Results

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