Online Convex Optimization with Perturbed Constraints: Optimal Rates against Stronger BenchmarksDownload PDFOpen Website

2020 (modified: 27 Jun 2023)AISTATS 2020Readers: Everyone
Abstract: This paper studies Online Convex Optimization (OCO) problems where the constraints have additive perturbations that (i) vary over time and (ii) are not known at the time to make a decision. Perturb...
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