How to make the gradient descent-ascent converge to local minima (Donghwan Kim, 01.08.2025 at UCLA)
Ernest Ryu · 54:05
The speaker asks why gradient descent works so well for minimization when its minimax counterpart, gradient descent-ascent (GDA), is notoriously unstable. His answer is that minimax has been missing the guarantee that...