208 related articles for article (PubMed ID: 31831449)
1. Stochastic Gradient Descent for Nonconvex Learning Without Bounded Gradient Assumptions.
Lei Y; Hu T; Li G; Tang K
IEEE Trans Neural Netw Learn Syst; 2020 Oct; 31(10):4394-4400. PubMed ID: 31831449
[TBL] [Abstract][Full Text] [Related]
2. Learning Rates for Stochastic Gradient Descent With Nonconvex Objectives.
Lei Y; Tang K
IEEE Trans Pattern Anal Mach Intell; 2021 Dec; 43(12):4505-4511. PubMed ID: 33755555
[TBL] [Abstract][Full Text] [Related]
3. Learning Rates for Nonconvex Pairwise Learning.
Li S; Liu Y
IEEE Trans Pattern Anal Mach Intell; 2023 Aug; 45(8):9996-10011. PubMed ID: 37030773
[TBL] [Abstract][Full Text] [Related]
4. Preconditioned Stochastic Gradient Descent.
Li XL
IEEE Trans Neural Netw Learn Syst; 2018 May; 29(5):1454-1466. PubMed ID: 28362591
[TBL] [Abstract][Full Text] [Related]
5. Convergence of the RMSProp deep learning method with penalty for nonconvex optimization.
Xu D; Zhang S; Zhang H; Mandic DP
Neural Netw; 2021 Jul; 139():17-23. PubMed ID: 33662649
[TBL] [Abstract][Full Text] [Related]
6. Accelerating Minibatch Stochastic Gradient Descent Using Typicality Sampling.
Peng X; Li L; Wang FY
IEEE Trans Neural Netw Learn Syst; 2020 Nov; 31(11):4649-4659. PubMed ID: 31899442
[TBL] [Abstract][Full Text] [Related]
7. A mean field view of the landscape of two-layer neural networks.
Mei S; Montanari A; Nguyen PM
Proc Natl Acad Sci U S A; 2018 Aug; 115(33):E7665-E7671. PubMed ID: 30054315
[TBL] [Abstract][Full Text] [Related]
8. On Consensus-Optimality Trade-offs in Collaborative Deep Learning.
Jiang Z; Balu A; Hegde C; Sarkar S
Front Artif Intell; 2021; 4():573731. PubMed ID: 34595470
[TBL] [Abstract][Full Text] [Related]
9. Stochastic proximal gradient methods for nonconvex problems in Hilbert spaces.
Geiersbach C; Scarinci T
Comput Optim Appl; 2021; 78(3):705-740. PubMed ID: 33707813
[TBL] [Abstract][Full Text] [Related]
10. Stochastic momentum methods for non-convex learning without bounded assumptions.
Liang Y; Liu J; Xu D
Neural Netw; 2023 Aug; 165():830-845. PubMed ID: 37418864
[TBL] [Abstract][Full Text] [Related]
11. The Strength of Nesterov's Extrapolation in the Individual Convergence of Nonsmooth Optimization.
Tao W; Pan Z; Wu G; Tao Q
IEEE Trans Neural Netw Learn Syst; 2020 Jul; 31(7):2557-2568. PubMed ID: 31484139
[TBL] [Abstract][Full Text] [Related]
12. Primal Averaging: A New Gradient Evaluation Step to Attain the Optimal Individual Convergence.
Tao W; Pan Z; Wu G; Tao Q
IEEE Trans Cybern; 2020 Feb; 50(2):835-845. PubMed ID: 30346303
[TBL] [Abstract][Full Text] [Related]
13. Analysis of Online Composite Mirror Descent Algorithm.
Lei Y; Zhou DX
Neural Comput; 2017 Mar; 29(3):825-860. PubMed ID: 28095196
[TBL] [Abstract][Full Text] [Related]
14. A Geometric Interpretation of Stochastic Gradient Descent Using Diffusion Metrics.
Fioresi R; Chaudhari P; Soatto S
Entropy (Basel); 2020 Jan; 22(1):. PubMed ID: 33285876
[TBL] [Abstract][Full Text] [Related]
15. A Sharp Estimate on the Transient Time of Distributed Stochastic Gradient Descent.
Pu S; Olshevsky A; Paschalidis IC
IEEE Trans Automat Contr; 2022 Nov; 67(11):5900-5915. PubMed ID: 37284602
[TBL] [Abstract][Full Text] [Related]
16. Sign Stochastic Gradient Descents without bounded gradient assumption for the finite sum minimization.
Sun T; Li D
Neural Netw; 2022 May; 149():195-203. PubMed ID: 35248809
[TBL] [Abstract][Full Text] [Related]
17. diffGrad: An Optimization Method for Convolutional Neural Networks.
Dubey SR; Chakraborty S; Roy SK; Mukherjee S; Singh SK; Chaudhuri BB
IEEE Trans Neural Netw Learn Syst; 2020 Nov; 31(11):4500-4511. PubMed ID: 31880565
[TBL] [Abstract][Full Text] [Related]
18. Every Local Minimum Value Is the Global Minimum Value of Induced Model in Nonconvex Machine Learning.
Kawaguchi K; Huang J; Kaelbling LP
Neural Comput; 2019 Dec; 31(12):2293-2323. PubMed ID: 31614105
[TBL] [Abstract][Full Text] [Related]
19. A(DP)
Xu J; Zhang W; Wang F
IEEE Trans Pattern Anal Mach Intell; 2022 Nov; 44(11):8036-8047. PubMed ID: 34449356
[TBL] [Abstract][Full Text] [Related]
20. Weighted SGD for ℓ
Yang J; Chow YL; Ré C; Mahoney MW
Proc Annu ACM SIAM Symp Discret Algorithms; 2016 Jan; 2016():558-569. PubMed ID: 29782626
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
