This lecture covers robust optimization applied to intensity-modulated radiation therapy, comparing nominal and robust optimization problems to minimize dose uncertainties. It also explores robust support vector machines, showing the connection between robustification and regularization, and the implications of linear separability on the worst-case hinge loss.
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