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cs.LG2023
Accelerated Rates between Stochastic and Adversarial Online Convex Optimization
Sarah Sachs, Hedi Hadiji, Tim van Erven +1
Stochastic and adversarial data are two widely studied settings in online learning. But many optimization tasks are neither i.i.d. nor fully adversarial, which makes it of fundamen…
cs.LG2015★ 1 cited
Statistical Query Algorithms for Mean Vector Estimation and Stochastic Convex Optimization
Vitaly Feldman, Cristobal Guzman, Santosh Vempala
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 lea…