16 On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima 1609.04836v1
Nitish Shirish Keskar, Dheevatsa Mudigere, Jorge Nocedal, Mikhail Smelyanskiy, Ping Tak Peter Tang



相当于带noise的梯度下降。



















Mu Li et al.[ACM SIGKDD'14] argue that the convergence rate of SGD for the large-batch setting can be improved




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