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Proximal Gradient Algorithm with Momentum and Flexible Parameter Restart for Nonconvex Optimization

Publication ,  Conference
Zhou, Y; Wang, Z; Ji, K; Liang, Y; Tarokh, V
Published in: PROCEEDINGS OF THE TWENTY-NINTH INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE
2020

Duke Scholars

Published In

PROCEEDINGS OF THE TWENTY-NINTH INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE

Publication Date

2020

Start / End Page

1445 / 1451
 

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Zhou, Y., Wang, Z., Ji, K., Liang, Y., & Tarokh, V. (2020). Proximal Gradient Algorithm with Momentum and Flexible Parameter Restart for Nonconvex Optimization. In PROCEEDINGS OF THE TWENTY-NINTH INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE (pp. 1445–1451).
Zhou, Yi, Zhe Wang, Kaiyi Ji, Yingbin Liang, and Vahid Tarokh. “Proximal Gradient Algorithm with Momentum and Flexible Parameter Restart for Nonconvex Optimization.” In PROCEEDINGS OF THE TWENTY-NINTH INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE, 1445–51, 2020.
Zhou Y, Wang Z, Ji K, Liang Y, Tarokh V. Proximal Gradient Algorithm with Momentum and Flexible Parameter Restart for Nonconvex Optimization. In: PROCEEDINGS OF THE TWENTY-NINTH INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE. 2020. p. 1445–51.
Zhou, Yi, et al. “Proximal Gradient Algorithm with Momentum and Flexible Parameter Restart for Nonconvex Optimization.” PROCEEDINGS OF THE TWENTY-NINTH INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE, 2020, pp. 1445–51.
Zhou Y, Wang Z, Ji K, Liang Y, Tarokh V. Proximal Gradient Algorithm with Momentum and Flexible Parameter Restart for Nonconvex Optimization. PROCEEDINGS OF THE TWENTY-NINTH INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE. 2020. p. 1445–1451.

Published In

PROCEEDINGS OF THE TWENTY-NINTH INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE

Publication Date

2020

Start / End Page

1445 / 1451