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Volumn 2017-December, Issue , 2017, Pages 5586-5596

Gradient descent GAN optimization is locally stable

Author keywords

[No Author keywords available]

Indexed keywords

ADVERSARIAL NETWORKS; ASYMPTOTICALLY STABLE; EQUILIBRIUM POINT; GRADIENT DESCENT; LOCAL STABILITY; OPTIMIZATION PROCEDURES; REGULARIZATION TERMS; STABILITY ANALYSIS;

EID: 85047004888     PISSN: 10495258     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (293)

References (23)
  • 4
    • 0033876515 scopus 로고    scopus 로고
    • The ode method for convergence of stochastic approximation and reinforcement learning
    • Vivek S Borkar and Sean P Meyn. The ode method for convergence of stochastic approximation and reinforcement learning. SIAM Journal on Control and Optimization, 38(2): 447-469, 2000.
    • (2000) SIAM Journal on Control and Optimization , vol.38 , Issue.2 , pp. 447-469
    • Borkar, V.S.1    Meyn, S.P.2
  • 7
    • 0026953305 scopus 로고
    • Improving generalization performance using double backpropagation
    • Harris Drucker and Yann Le Cun. Improving generalization performance using double backpropagation. IEEE Transactions on Neural Networks, 3(6): 991-997, 1992.
    • (1992) IEEE Transactions on Neural Networks , vol.3 , Issue.6 , pp. 991-997
    • Drucker, H.1    Le Cun, Y.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.