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

SignGD with error feedback meets lazily aggregated technique: Communication-efficient algorithms for distributed learning

(2021) Xiaoge Deng et al.   TSINGHUA SCIENCE AND TECHNOLOGY

Gradient Descent Learning With Floats

(2020) Tao Sun et al.   IEEE Transactions on Cybernetics

Stochastic Gradient Descent for Nonconvex Learning Without Bounded Gradient Assumptions

(2019) Yunwen Lei et al.   IEEE Transactions on Neural Networks and Learning Systems

Deep learning

(2015) Yann LeCun et al.   NATURE

Deep learning in neural networks: An overview

(2015) Jürgen Schmidhuber   NEURAL NETWORKS

Stochastic First- and Zeroth-Order Methods for Nonconvex Stochastic Programming

(2013) Saeed Ghadimi et al.   SIAM JOURNAL ON OPTIMIZATION

LIBSVM

(2012) Chih-Chung Chang et al.   ACM Transactions on Intelligent Systems and Technology

Regularization Techniques and Suboptimal Solutions to Optimization Problems in Learning from Data

(2009) Giorgio Gnecco et al.   NEURAL COMPUTATION