Extra Chapter: Online Learning - Online Convex Optimization 2

In this chapter we explain the connection between Online Gradient Descent (OGD) and Follow the Regularized Leader (FTRL) via linearization of convex functions and how this implies regret bounds for OGD.

Lecture video

Lecture slides

Download »slides-online-learning-oco-2.pdf«

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