2026
Constrained Online Convex Optimization with Memory and Predictions
AAAI 2026technical
We study Constrained Online Convex Optimization with Memory (COCO-M), where both the loss and the constraints depend on a finite window of past decisions made by the learner. This setting extends the previously studied unconstrained online optimization with memory framework and captures practical pr