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cs.LG2022
Optimal Comparator Adaptive Online Learning with Switching Cost
Zhiyu Zhang, Ashok Cutkosky, Ioannis Ch. Paschalidis
Practical online learning tasks are often naturally defined on unconstrained domains, where optimal algorithms for general convex losses are characterized by the notion of comparat…
cs.LG2022
PDE-Based Optimal Strategy for Unconstrained Online Learning
Zhiyu Zhang, Ashok Cutkosky, Ioannis Paschalidis
Unconstrained Online Linear Optimization (OLO) is a practical problem setting to study the training of machine learning models. Existing works proposed a number of potential-based…