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cs.LG2022★ 1 cited
Stochastic Mirror Descent in Average Ensemble Models
Taylan Kargin, Fariborz Salehi, Babak Hassibi
The stochastic mirror descent (SMD) algorithm is a general class of training algorithms, which includes the celebrated stochastic gradient descent (SGD), as a special case. It util…
cs.LG2022★ 2 cited
Explicit Regularization via Regularizer Mirror Descent
Navid Azizan, Sahin Lale, Babak Hassibi
Despite perfectly interpolating the training data, deep neural networks (DNNs) can often generalize fairly well, in part due to the "implicit regularization" induced by the learnin…