Alternating Proximal-Gradient Steps for (Stochastic) Nonconvex-Concave Minimax Problems.

Solving Nonconvex-Nonconcave Min-Max Problems exhibiting Weak Minty Solutions.

Beyond the Golden Ratio for Variational Inequality Algorithms.

Two Steps at a Time - Taking GAN Training in Stride with Tseng's Method.

Variable Smoothing for Weakly Convex Composite Functions.

Variable Smoothing for Convex Optimization Problems Using Stochastic Gradients.