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.