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Optimal Algorithms for Online Convex Optimization with Adversarial Constraints
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Optimal Algorithms for Online Convex Optimization with Adversarial Constraints
Instructor : Abhishek Sinha Affiliation : TIFR, Mumbai Abstract : Constrained Online Convex Optimization (COCO) is a well-studied extension of the standard Online Convex Optimization framework, where at each round the learner selects an action before observing both a convex loss function and a convex constraint function. The goal is to design ...
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