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From Order to Distribution: An Exact Operator Framework for Forgetting in Continual Learning
A central challenge in continual learning is forgetting: the loss of performance on previously learned tasks after learning new ones. Prior theory has analyzed forgetting under random orderings of fixed task collections in overparameterized linear regression. We shift the focus from task order to ta
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