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The Multiplicative Noise in Stochastic Gradient Descent: Data-Dependent Regularization, Continuous and Discrete Approximation.
Jingfeng Wu
Wenqing Hu
Haoyi Xiong
Jun Huan
Zhanxing Zhu
Published in:
CoRR (2019)
Keyphrases
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data dependent
stochastic gradient descent
least squares
loss function
matrix factorization
regularization parameter
support vector machine
multiple kernel learning
weight vector
energy functional
similarity measure
pairwise
cross validation
hash functions