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Accelerated Rates between Stochastic and Adversarial Online Convex Optimization
In the fully adversarial case our bounds gracefully deteriorate to match the minimax regret.
Statistical Query Algorithms for Mean Vector Estimation and Stochastic Convex Optimization
Stochastic convex optimization, where the objective is the expectation of a random convex function, is an important and widely used method with numerous applications in machine learning, statistics, operations research and other areas.
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