Sign Stochastic Gradient Descents without bounded gradient assumption for the finite sum minimization

Author:

Sun TaoORCID,Li Dongsheng

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience

Reference45 articles.

1. Agarwal, Alekh, Dekel, Ofer, & Xiao, Lin (2010). Optimal Algorithms for Online Convex Optimization with Multi-Point Bandit Feedback. In 23rd annual conference on learning theory (pp. 28–40).

2. QSGD: Communication-efficient SGD via gradient quantization and encoding;Alistarh,2017

3. Dissecting adam: The sign, magnitude and variance of stochastic gradients;Balles,2018

4. Signsgd: Compressed optimisation for non-convex problems;Bernstein,2018

5. LIBSVM: A library for support vector machines;Chang;ACM Transactions on Intelligent Systems and Technology (TIST),2011

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