暂无分享,去创建一个
Marten van Dijk | Lam M. Nguyen | Phuong Ha Nguyen | Jayant Kalagnanam | Tsui-Wei Weng | Dzung T. Phan | J. Kalagnanam | Tsui-Wei Weng | D. Phan
[1] Shai Shalev-Shwartz,et al. Stochastic dual coordinate ascent methods for regularized loss , 2012, J. Mach. Learn. Res..
[2] Zeyuan Allen-Zhu,et al. Natasha 2: Faster Non-Convex Optimization Than SGD , 2017, NeurIPS.
[3] Lam M. Nguyen,et al. Inexact SARAH algorithm for stochastic optimization , 2018, Optim. Methods Softw..
[4] Yi Zhou,et al. SpiderBoost: A Class of Faster Variance-reduced Algorithms for Nonconvex Optimization , 2018, ArXiv.
[5] Julien Mairal,et al. Optimization with First-Order Surrogate Functions , 2013, ICML.
[6] Jorge Nocedal,et al. Optimization Methods for Large-Scale Machine Learning , 2016, SIAM Rev..
[7] Yoram Singer,et al. Pegasos: primal estimated sub-gradient solver for SVM , 2011, Math. Program..
[8] Jimmy Ba,et al. Adam: A Method for Stochastic Optimization , 2014, ICLR.
[9] Quanquan Gu,et al. Stochastic Nested Variance Reduction for Nonconvex Optimization , 2018, J. Mach. Learn. Res..
[10] Jie Liu,et al. SARAH: A Novel Method for Machine Learning Problems Using Stochastic Recursive Gradient , 2017, ICML.
[11] Francis Bach,et al. SAGA: A Fast Incremental Gradient Method With Support for Non-Strongly Convex Composite Objectives , 2014, NIPS.
[12] Peter Richtárik,et al. SGD and Hogwild! Convergence Without the Bounded Gradients Assumption , 2018, ICML.
[13] Hongyi Zhang,et al. R-SPIDER: A Fast Riemannian Stochastic Optimization Algorithm with Curvature Independent Rate , 2018, ArXiv.
[14] Mark W. Schmidt,et al. A Stochastic Gradient Method with an Exponential Convergence Rate for Finite Training Sets , 2012, NIPS.
[15] Mark W. Schmidt,et al. Minimizing finite sums with the stochastic average gradient , 2013, Mathematical Programming.
[16] Peter Richtárik,et al. Semi-Stochastic Gradient Descent Methods , 2013, Front. Appl. Math. Stat..
[17] Tong Zhang,et al. Accelerating Stochastic Gradient Descent using Predictive Variance Reduction , 2013, NIPS.
[18] H. Robbins. A Stochastic Approximation Method , 1951 .
[19] Chih-Jen Lin,et al. LIBSVM: A library for support vector machines , 2011, TIST.
[20] Alexander J. Smola,et al. Stochastic Variance Reduction for Nonconvex Optimization , 2016, ICML.
[21] Tong Zhang,et al. SPIDER: Near-Optimal Non-Convex Optimization via Stochastic Path Integrated Differential Estimator , 2018, NeurIPS.
[22] Yoram Singer,et al. Adaptive Subgradient Methods for Online Learning and Stochastic Optimization , 2011, J. Mach. Learn. Res..
[23] Zeyuan Allen Zhu,et al. Natasha: Faster Non-Convex Stochastic Optimization Via Strongly Non-Convex Parameter , 2017, ArXiv.
[24] Yurii Nesterov,et al. Introductory Lectures on Convex Optimization - A Basic Course , 2014, Applied Optimization.
[25] Jie Liu,et al. Stochastic Recursive Gradient Algorithm for Nonconvex Optimization , 2017, ArXiv.