In the new paper, the researchers proved that gradient descent is as hard as Either-Solution, making gradient descent itself PLS int PPAD-complete. “[The nature of computation] is something that we as ...

Dr. James McCaffrey presents a complete end-to-end demonstration of the kernel ridge regression technique to predict a single numeric value. The demo uses stochastic gradient descent, one of two ...

For example, gradient descent is often used in machine learning in ways that don’t require extreme precision. But a machine learning researcher might want to double the precision of an experiment.