Variable Smoothing for Convex Optimization Problems Using Stochastic Gradients. - Radu Ioan Bot; Axel Böhm (J. Sci. Comput., 2020)

Variable Smoothing for Weakly Convex Composite Functions. - Axel Böhm; Stephen J. Wright 001 (J. Optim. Theory Appl., 2021)

Two Steps at a Time - Taking GAN Training in Stride with Tseng's Method. - Axel Böhm; Michael Sedlmayer; Ernö Robert Csetnek; Radu Ioan Bot (SIAM J. Math. Data Sci., 2022)

Beyond the Golden Ratio for Variational Inequality Algorithms. - Ahmet Alacaoglu; Axel Böhm; Yura Malitsky (J. Mach. Learn. Res., 2023)

Solving Nonconvex-Nonconcave Min-Max Problems exhibiting Weak Minty Solutions. - Axel Böhm (Trans. Mach. Learn. Res., 2023)

Alternating Proximal-Gradient Steps for (Stochastic) Nonconvex-Concave Minimax Problems. - Radu Ioan Bot; Axel Böhm (SIAM J. Optim., 2023)