GRADSTOP: Early Stopping of Gradient Descent via Posterior Sampling

Arash Jamshidi, Lauri Seppäläinen, Katsiaryna Haitsiukevich +3

Machine learning models are often learned by minimising a loss function on the training data using a gradient descent algorithm. These models often suffer from overfitting, leading…