Calibrating Bayesian Learning via Regularization, Confidence Minimization, and Selective Inference.

Jiayi Huang Sangwoo Park Osvaldo Simeone

Published in: CoRR (2024)

Keyphrases

bayesian learning
variational bayes
regularization term
model selection
posterior distribution
objective function
feature selection
machine learning
least squares
bayesian inference
co occurrence
topic models
image reconstruction
bayesian framework
probabilistic inference
hyperparameters