School of Computer Science and Statistics, Trinity College Dublin
Daron Anderson, Douglas Leith
optimisation;online learning;FTRL;subgradient;gradient descent;sequential;machine learning;strongly convex;logarithmic;pseudoregret;expected regret;differential geometry;curvature
The Lazy Online Subgradient Algorithm is Universal on Strongly Convex Domains