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Dynamic Regret of Adaptive Gradient Methods for Strongly Convex Problems
Adaptive gradient algorithms such as ADAGRAD and its variants have gained popularity in the training of deep neural networks.
Dynamic Regret Analysis for Online Meta-Learning
The online meta-learning framework has arisen as a powerful tool for the continual lifelong learning setting.
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