The statistical complexity of early-stopped mirror descent
Recently there has been a surge of interest in understanding implicit regularization properties of iterative gradient-based optimization algorithms. In this paper, we study the statistical guarantees on the excess risk achieved by early-stopped unconstrained mirror descent algorithms applied to the...
| Главные авторы: | , , |
|---|---|
| Формат: | Journal article |
| Язык: | English |
| Опубликовано: |
Neural Information Processing Systems Foundation, Inc.
2020
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