Adaptive Subgradient Methods for Online Learning and Stochastic Optimization Adaptive Subgradient Methods for Online Learning and Stochastic Optimization
Paper summary This is Adagrad. Adagrad is an adaptive learning rate method. Some sample code from [[Stanford CS231n]](https://cs231n.github.io/neural-networks-3/#ada) is: ```python # Assume the gradient dx and parameter vector x cache += dx**2 x += - learning_rate * dx / (np.sqrt(cache) + eps) ```
colt2010.haifa.il.ibm.com
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Adaptive Subgradient Methods for Online Learning and Stochastic Optimization
Duchi, John C. and Hazan, Elad and Singer, Yoram
Conference on Learning Theory - 2010 via Bibsonomy
Keywords: dblp


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