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Volumn 2015-January, Issue , 2015, Pages 2737-2745

Asynchronous parallel stochastic gradient for nonconvex optimization

Author keywords

[No Author keywords available]

Indexed keywords

INFORMATION SCIENCE; MECHANISMS;

EID: 84965099508     PISSN: 10495258     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (518)

References (31)
  • 1
    • 85162387277 scopus 로고    scopus 로고
    • Distributed delayed stochastic optimization
    • A. Agarwal and J. C. Duchi. Distributed delayed stochastic optimization. NIPS, 2011.
    • (2011) NIPS
    • Agarwal, A.1    Duchi, J.C.2
  • 2
    • 84906673146 scopus 로고    scopus 로고
    • Revisiting asynchronous linear solvers: Provable convergence rate through randomization
    • H. Avron, A. Druinsky, and A. Gupta. Revisiting asynchronous linear solvers: Provable convergence rate through randomization. IPDPS, 2014.
    • (2014) IPDPS
    • Avron, H.1    Druinsky, A.2    Gupta, A.3
  • 9
    • 84892854517 scopus 로고    scopus 로고
    • Stochastic first- and zeroth-order methods for nonconvex stochastic programming
    • S. Ghadimi and G. Lan. Stochastic first- and zeroth-order methods for nonconvex stochastic programming. SIAM Journal on Optimization, 23(4):2341-2368, 2013.
    • (2013) SIAM Journal on Optimization , vol.23 , Issue.4 , pp. 2341-2368
    • Ghadimi, S.1    Lan, G.2
  • 13
    • 84876231242 scopus 로고    scopus 로고
    • Imagenet classification with deep convolutional neural networks
    • A. Krizhevsky, I. Sutskever, and G. E. Hinton. Imagenet classification with deep convolutional neural networks. NIPS, pages 1097-1105, 2012.
    • (2012) NIPS , pp. 1097-1105
    • Krizhevsky, A.1    Sutskever, I.2    Hinton, G.E.3
  • 16
    • 84937889303 scopus 로고    scopus 로고
    • Communication efficient distributed machine learning with the parameter server
    • M. Li, D. G. Andersen, A. J. Smola, and K. Yu. Communication efficient distributed machine learning with the parameter server. NIPS, 2014b.
    • (2014) NIPS
    • Li, M.1    Andersen, D.G.2    Smola, A.J.3    Yu, K.4
  • 18
    • 84919932688 scopus 로고    scopus 로고
    • An asynchronous parallel stochastic coordinate descent algorithm
    • J. Liu, S. J. Wright, C. Ré, V. Bittorf, and S. Sridhar. An asynchronous parallel stochastic coordinate descent algorithm. ICML, 2014a.
    • (2014) ICML
    • Liu, J.1    Wright, S.J.2    Ré, C.3    Bittorf, V.4    Sridhar, S.5
  • 22
    • 70450197241 scopus 로고    scopus 로고
    • Robust stochastic approximation approach to stochastic programming
    • A. Nemirovski, A. Juditsky, G. Lan, and A. Shapiro. Robust stochastic approximation approach to stochastic programming. SIAM Journal on Optimization, 19(4):1574-1609, 2009.
    • (2009) SIAM Journal on Optimization , vol.19 , Issue.4 , pp. 1574-1609
    • Nemirovski, A.1    Juditsky, A.2    Lan, G.3    Shapiro, A.4
  • 23
    • 85162467517 scopus 로고    scopus 로고
    • Hogwild: A lock-free approach to parallelizing stochastic gradient descent
    • F. Niu, B. Recht, C. Re, and S. Wright. Hogwild: A lock-free approach to parallelizing stochastic gradient descent. NIPS, 2011.
    • (2011) NIPS
    • Niu, F.1    Recht, B.2    Re, C.3    Wright, S.4
  • 24
    • 84965122596 scopus 로고    scopus 로고
    • GPU asynchronous stochastic gradient descent to speed up neural network training
    • T. Paine, H. Jin, J. Yang, Z. Lin, and T. Huang. Gpu asynchronous stochastic gradient descent to speed up neural network training. NIPS, 2013.
    • (2013) NIPS
    • Paine, T.1    Jin, H.2    Yang, J.3    Lin, Z.4    Huang, T.5
  • 25
    • 84908893558 scopus 로고    scopus 로고
    • Gasgd: Stochastic gradient descent for distributed asynchronous matrix completion via graph partitioning
    • F. Petroni and L. Querzoni. Gasgd: stochastic gradient descent for distributed asynchronous matrix completion via graph partitioning. ACM Conference on Recommender systems, 2014.
    • (2014) ACM Conference on Recommender Systems
    • Petroni, F.1    Querzoni, L.2
  • 30
    • 84919796967 scopus 로고    scopus 로고
    • Asynchronous distributed ADMM for consensus optimization
    • R. Zhang and J. Kwok. Asynchronous distributed ADMM for consensus optimization. ICML, 2014.
    • (2014) ICML
    • Zhang, R.1    Kwok, J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.