Proximal point algorithm revisited, episode 3. Catalyst acceleration Revisiting the proximal point method, and catalyst generic acceleration for regularized Empirical Risk Minimization.
Proximal point algorithm revisited, episode 2. The prox-linear algorithm Revisiting the proximal point method. Composite models and the prox-linear algorithm.
Proximal point algorithm revisited, episode 1. The proximally guided subgradient method Revisiting the proximal point method, with the proximally guided subgradient method for stochastic optimization.
The proximal point method revisited, episode 0. Introduction Revisiting the proximal point method. Introduction and Notation.
k-server problem Recent breakthrough of the k-server problem on HST