2 papers
cs.LG2026
Training Neural Networks with Optimal Double-Bayesian Learning
Vy Bui, Hang Yu, Karthik Kantipudi +2
Backpropagation with gradient descent is a common optimization strategy employed by most neural network architectures in machine learning. However, finding optimal hyperparameters…
cs.LG2024
Double-Bayesian Learning
Stefan Jaeger
Contemporary machine learning methods will try to approach the Bayes error, as it is the lowest possible error any model can achieve. This paper postulates that any decision is com…