The purpose of the workshop is to gather experts from different fields related to optimization, learning and game theory, encouraging interaction among them. We expect to have a limited number of survey talks and open problem sessions, reserving a substantial time for discussions among participants.
In this first edition, the main topic of the workshop will be "Acceleration". In the last years there has been profound progress in extending the applicability of acceleration in first-order methods, impacting both theory and practice of problems described by large datasets. Specifically, topics such as fast methods for convex and nonconvex optimization, variance reduction in stochastic approximation, and statistical stability of iterative methods for statistical learning are of utmost relevance, and will be the focus of this event.