Adaptive Proximal Gradient Method for Convex Optimization

4 August 2023

Papers citing "Adaptive Proximal Gradient Method for Convex Optimization"

10 / 10 papers shown

Title
Quantum Algorithm for Sparse Online Learning with Truncated Gradient Descent Debbie Lim Yixian Qiu P. Rebentrost Qisheng Wang 26 0 0 06 Nov 2024
The Challenges of Optimization For Data Science Christian Varner Vivak Patel 21 1 0 15 Apr 2024
Safeguarding adaptive methods: global convergence of Barzilai-Borwein and other stepsize choices Hongjia Ou Andreas Themelis 19 0 0 15 Apr 2024
Problem-Parameter-Free Decentralized Nonconvex Stochastic Optimization Jiaxiang Li Xuxing Chen Shiqian Ma Mingyi Hong ODL 19 2 0 13 Feb 2024
Adaptive proximal gradient methods are universal without approximation Konstantinos A. Oikonomidis Emanuel Laude P. Latafat Andreas Themelis Panagiotis Patrinos 12 6 0 09 Feb 2024
Stochastic Weakly Convex Optimization Beyond Lipschitz Continuity Wenzhi Gao Qi Deng 19 1 0 25 Jan 2024
On the convergence of adaptive first order methods: proximal gradient and alternating minimization algorithms P. Latafat Andreas Themelis Panagiotis Patrinos 15 11 0 30 Nov 2023
Optimal and parameter-free gradient minimization methods for convex and nonconvex optimization Guanghui Lan Yuyuan Ouyang Zhe Zhang 11 7 0 18 Oct 2023
A simple uniformly optimal method without line search for convex optimization Tianjiao Li Guanghui Lan 16 20 0 16 Oct 2023
Adaptive proximal algorithms for convex optimization under local Lipschitz continuity of the gradient P. Latafat Andreas Themelis L. Stella Panagiotis Patrinos 16 26 0 11 Jan 2023