BayesNDE: Bayesian Generative Modeling for Neural Density Estimation
Density estimation is a fundamental problem in statistics and machine learning. In this work, we introduce BayesNDE, a neural density estimator based on Bayesian generative modeling. BayesNDE learns a Bayesian generative model and evaluates its density without requiring invertible networks or Jacobian-determinant compu...
Cheng-Lin Li, Qiao Liu
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