Accelerated Gradient Descent by Concatenation of Stepsize Schedules
Fuente:
arXiv
Guardado en:
| Autores principales: | Zhang, Zehao, Jiang, Rujun |
|---|---|
| Formato: | Preprint |
| Publicado: |
2024
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Composing Optimized Stepsize Schedules for Gradient Descent
por: Grimmer, Benjamin, et al.
Publicado: (2024)
por: Grimmer, Benjamin, et al.
Publicado: (2024)
Acceleration by Stepsize Hedging I: Multi-Step Descent and the Silver Stepsize Schedule
por: Altschuler, Jason M., et al.
Publicado: (2023)
por: Altschuler, Jason M., et al.
Publicado: (2023)
Accelerating Proximal Gradient Descent via Silver Stepsizes
por: Bok, Jinho, et al.
Publicado: (2024)
por: Bok, Jinho, et al.
Publicado: (2024)
Stepsize Hedging: an Alternative Mechanism for Accelerating Gradient Descent
por: Altschuler, Jason M., et al.
Publicado: (2026)
por: Altschuler, Jason M., et al.
Publicado: (2026)
Acceleration by Stepsize Hedging II: Silver Stepsize Schedule for Smooth Convex Optimization
por: Altschuler, Jason M., et al.
Publicado: (2023)
por: Altschuler, Jason M., et al.
Publicado: (2023)
Acceleration by Random Stepsizes: Hedging, Equalization, and the Arcsine Stepsize Schedule
por: Altschuler, Jason M., et al.
Publicado: (2024)
por: Altschuler, Jason M., et al.
Publicado: (2024)
Block Acceleration Without Momentum: On Optimal Stepsizes of Block Gradient Descent for Least-Squares
por: Peng, Liangzu, et al.
Publicado: (2024)
por: Peng, Liangzu, et al.
Publicado: (2024)
A Strengthened Conjecture on the Minimax Optimal Constant Stepsize for Gradient Descent
por: Grimmer, Benjamin, et al.
Publicado: (2024)
por: Grimmer, Benjamin, et al.
Publicado: (2024)
Coupling-based Convergence Diagnostic and Stepsize Scheme for Stochastic Gradient Descent
por: Li, Xiang, et al.
Publicado: (2024)
por: Li, Xiang, et al.
Publicado: (2024)
Negative Stepsizes Make Gradient-Descent-Ascent Converge
por: Shugart, Henry, et al.
Publicado: (2025)
por: Shugart, Henry, et al.
Publicado: (2025)
Generalization of Silver Stepsize Schedule to Stochastic Optimization
por: Bai, Luwei, et al.
Publicado: (2025)
por: Bai, Luwei, et al.
Publicado: (2025)
Anytime Acceleration of Gradient Descent
por: Zhang, Zihan, et al.
Publicado: (2024)
por: Zhang, Zihan, et al.
Publicado: (2024)
Det-CGD: Compressed Gradient Descent with Matrix Stepsizes for Non-Convex Optimization
por: Li, Hanmin, et al.
Publicado: (2023)
por: Li, Hanmin, et al.
Publicado: (2023)
Accelerating Level-Value Adjustment for the Polyak Stepsize
por: Liu, Anbang, et al.
Publicado: (2023)
por: Liu, Anbang, et al.
Publicado: (2023)
Large Stepsize Gradient Descent for Non-Homogeneous Two-Layer Networks: Margin Improvement and Fast Optimization
por: Cai, Yuhang, et al.
Publicado: (2024)
por: Cai, Yuhang, et al.
Publicado: (2024)
Linear Convergence of the Proximal Gradient Method for Composite Optimization Under the Polyak-Łojasiewicz Inequality and Its Variant
por: Kong, Qingyuan, et al.
Publicado: (2024)
por: Kong, Qingyuan, et al.
Publicado: (2024)
Universality of AdaGrad Stepsizes for Stochastic Optimization: Inexact Oracle, Acceleration and Variance Reduction
por: Rodomanov, Anton, et al.
Publicado: (2024)
por: Rodomanov, Anton, et al.
Publicado: (2024)
Adaptive Accelerated Gradient Descent Methods for Convex Optimization
por: Xu, Zeyi, et al.
Publicado: (2026)
por: Xu, Zeyi, et al.
Publicado: (2026)
Accelerated Objective Gap and Gradient Norm Convergence for Gradient Descent via Long Steps
por: Grimmer, Benjamin, et al.
Publicado: (2024)
por: Grimmer, Benjamin, et al.
Publicado: (2024)
AdGT: Decentralized Gradient Tracking with Tuning-free Per-Agent Stepsize
por: Ghaderyan, Diyako, et al.
Publicado: (2025)
por: Ghaderyan, Diyako, et al.
Publicado: (2025)
A Nesterov-style Accelerated Gradient Descent Algorithm for the Symmetric Eigenvalue Problem
por: Alimisis, Foivos, et al.
Publicado: (2024)
por: Alimisis, Foivos, et al.
Publicado: (2024)
Decentralized Relaxed Smooth Optimization with Gradient Descent Methods
por: Jiang, Zhanhong, et al.
Publicado: (2025)
por: Jiang, Zhanhong, et al.
Publicado: (2025)
New notions of simultaneous diagonalizability of quadratic forms with applications to QCQPs
por: Wang, Alex L., et al.
Publicado: (2021)
por: Wang, Alex L., et al.
Publicado: (2021)
Solving Chance Constrained Programs via a Penalty based Difference of Convex Approach
por: Li, Zhiping, et al.
Publicado: (2026)
por: Li, Zhiping, et al.
Publicado: (2026)
Natural Gradient Descent for Control
por: Esmzad, Ramin, et al.
Publicado: (2025)
por: Esmzad, Ramin, et al.
Publicado: (2025)
New Results on the Polyak Stepsize: Tight Convergence Analysis and Universal Function Classes
por: He, Chang, et al.
Publicado: (2025)
por: He, Chang, et al.
Publicado: (2025)
An Adaptive Stochastic Gradient Method with Non-negative Gauss-Newton Stepsizes
por: Orvieto, Antonio, et al.
Publicado: (2024)
por: Orvieto, Antonio, et al.
Publicado: (2024)
Faster Convergence of Stochastic Accelerated Gradient Descent under Interpolation
por: Mishkin, Aaron, et al.
Publicado: (2024)
por: Mishkin, Aaron, et al.
Publicado: (2024)
Stochastic Approximation with Block Coordinate Optimal Stepsizes
por: Jiang, Tao, et al.
Publicado: (2025)
por: Jiang, Tao, et al.
Publicado: (2025)
Stochastic Gradient Descent with Strategic Querying
por: Jiang, Nanfei, et al.
Publicado: (2025)
por: Jiang, Nanfei, et al.
Publicado: (2025)
Interpretable Gradient Descent for Kalman Gain
por: Belabbas, M. A., et al.
Publicado: (2025)
por: Belabbas, M. A., et al.
Publicado: (2025)
Near-Optimal Convex Simple Bilevel Optimization with a Bisection Method
por: Wang, Jiulin, et al.
Publicado: (2024)
por: Wang, Jiulin, et al.
Publicado: (2024)
An Adaptive Algorithm for Bilevel Optimization on Riemannian Manifolds
por: Shi, Xu, et al.
Publicado: (2025)
por: Shi, Xu, et al.
Publicado: (2025)
An Alternating Direction Method of Multipliers for Utility-based Shortfall Risk Portfolio Optimization
por: Xiao, Rufeng, et al.
Publicado: (2025)
por: Xiao, Rufeng, et al.
Publicado: (2025)
Towards Noise-adaptive, Problem-adaptive (Accelerated) Stochastic Gradient Descent
por: Vaswani, Sharan, et al.
Publicado: (2021)
por: Vaswani, Sharan, et al.
Publicado: (2021)
Perturbed Gradient Descent Algorithms are Small-Disturbance Input-to-State Stable
por: Cui, Leilei, et al.
Publicado: (2025)
por: Cui, Leilei, et al.
Publicado: (2025)
SOREL: A Stochastic Algorithm for Spectral Risks Minimization
por: Ge, Yuze, et al.
Publicado: (2024)
por: Ge, Yuze, et al.
Publicado: (2024)
Adaptive SGD with Line-Search and Polyak Stepsizes: Nonconvex Convergence and Accelerated Rates
por: Wu, Haotian
Publicado: (2025)
por: Wu, Haotian
Publicado: (2025)
Adaptive Stepsize Selection in Decentralized Convex Optimization
por: Kuruzov, Ilya, et al.
Publicado: (2025)
por: Kuruzov, Ilya, et al.
Publicado: (2025)
Projected Gradient Descent Algorithm for Low-Rank Matrix Estimation
por: Zhang, Teng, et al.
Publicado: (2024)
por: Zhang, Teng, et al.
Publicado: (2024)
Ejemplares similares
-
Composing Optimized Stepsize Schedules for Gradient Descent
por: Grimmer, Benjamin, et al.
Publicado: (2024) -
Acceleration by Stepsize Hedging I: Multi-Step Descent and the Silver Stepsize Schedule
por: Altschuler, Jason M., et al.
Publicado: (2023) -
Accelerating Proximal Gradient Descent via Silver Stepsizes
por: Bok, Jinho, et al.
Publicado: (2024) -
Stepsize Hedging: an Alternative Mechanism for Accelerating Gradient Descent
por: Altschuler, Jason M., et al.
Publicado: (2026) -
Acceleration by Stepsize Hedging II: Silver Stepsize Schedule for Smooth Convex Optimization
por: Altschuler, Jason M., et al.
Publicado: (2023)