Adaptive Subgradient Methods for Online Learning and Stochastic Optimization¶
Duchi, J., Hazan, & Singer. (2011). Adaptive Subgradient Methods for Online Learning and Stochastic Optimization. Journal of Machine Learning Research, 12(61), 2121-2159.
Cited by¶
1 citation across 1 artifact.
Each citation links to the sentence it supports in the citing article.
Mechanisms¶
- Adaptive Learning-Rate or Noise Schedule
- The step size has become a function the search computes about itself, and the training run adapts to conditions the authors never anticipated.
This sourceDerives learning algorithms that adapt step scaling from the geometry of gradients observed during the run.
- The step size has become a function the search computes about itself, and the training run adapts to conditions the authors never anticipated.
Verification¶
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Registry ID ref:a59c7e5daf94 · see in the full table