Convergence Rate of Projected Subgradient Method with Time-varying Step-sizes
Fuente:
arXiv
Saved in:
| Main Authors: | Zhu, Zhihan, Zhang, Yanhao, Xia, Yong |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Lipschitz-free Projected Subgradient Method with Time-varying Step-size
by: Xia, Yong, et al.
Published: (2024)
by: Xia, Yong, et al.
Published: (2024)
Optimal Subgradient Methods for Lipschitz Convex Optimization with Error Bounds
by: Wang, Alex L.
Published: (2025)
by: Wang, Alex L.
Published: (2025)
On Convergence of Regularized Barzilai-Borwein Method
by: Xu, Xin
Published: (2025)
by: Xu, Xin
Published: (2025)
A Projection-Free Method for Solving Convex Bilevel Optimization Problems
by: Giang-Tran, Khanh-Hung, et al.
Published: (2023)
by: Giang-Tran, Khanh-Hung, et al.
Published: (2023)
Convergence, Duality and Well-Posedness in Convex Bilevel Optimization
by: Giang-Tran, Khanh-Hung, et al.
Published: (2025)
by: Giang-Tran, Khanh-Hung, et al.
Published: (2025)
Parallelizing the Circumcentered-Reflection Method
by: Barros, Pablo, et al.
Published: (2025)
by: Barros, Pablo, et al.
Published: (2025)
A Parameterized Barzilai-Borwein Method via Interpolated Least Squares
by: Xu, Xin
Published: (2024)
by: Xu, Xin
Published: (2024)
Halpern Acceleration of the Inexact Proximal Point Method of Rockafellar
by: Zhang, Liwei, et al.
Published: (2025)
by: Zhang, Liwei, et al.
Published: (2025)
A Modified Proximal Bundle Method Under A Frank-Wolfe Perspective
by: Fersztand, David, et al.
Published: (2024)
by: Fersztand, David, et al.
Published: (2024)
A nonsmooth Frank-Wolfe algorithm through a dual cutting-plane approach
by: Mazanti, Guilherme, et al.
Published: (2024)
by: Mazanti, Guilherme, et al.
Published: (2024)
Nesterov's accelerated gradient for unbounded convex functions finds the minimum-norm point in the dual space
by: Sakabe, Keiya
Published: (2026)
by: Sakabe, Keiya
Published: (2026)
Stochastic Approximation Proximal Subgradient Method for Stochastic Convex-Concave Minimax Optimization
by: Dai, Yu-Hong, et al.
Published: (2024)
by: Dai, Yu-Hong, et al.
Published: (2024)
Long-Step Path-Following Algorithm for Quantum Information Theory: Some Numerical Aspects and Applications
by: Faybusovich, Leonid, et al.
Published: (2019)
by: Faybusovich, Leonid, et al.
Published: (2019)
Proximal Nonlinear Conjugate Gradient Methods for Composite Optimization
by: Hamana, Shodai, et al.
Published: (2026)
by: Hamana, Shodai, et al.
Published: (2026)
Adaptive Inertial Method
by: Long, Han, et al.
Published: (2025)
by: Long, Han, et al.
Published: (2025)
Faster Accelerated First-order Methods for Convex Optimization with Strongly Convex Function Constraints
by: Lin, Zhenwei, et al.
Published: (2022)
by: Lin, Zhenwei, et al.
Published: (2022)
Fast Frank--Wolfe Algorithms with Adaptive Bregman Step-Size for Weakly Convex Functions
by: Takahashi, Shota, et al.
Published: (2025)
by: Takahashi, Shota, et al.
Published: (2025)
A Globally Convergent Gradient Method with Momentum
by: Lapucci, Matteo, et al.
Published: (2024)
by: Lapucci, Matteo, et al.
Published: (2024)
Peaceman-Rachford Splitting Method Converges Ergodically for Solving Convex Optimization Problems
by: Chen, Kaihuang, et al.
Published: (2025)
by: Chen, Kaihuang, et al.
Published: (2025)
Preconditioned Proximal Gradient Methods with Conjugate Momentum: A Subspace Perspective
by: Chen, Jian, et al.
Published: (2026)
by: Chen, Jian, et al.
Published: (2026)
Revisiting Extragradient-Type Methods -- Part 1: Generalizations and Sublinear Convergence Rates
by: Tran-Dinh, Quoc, et al.
Published: (2024)
by: Tran-Dinh, Quoc, et al.
Published: (2024)
Asymmetric Long-Step Primal-Dual Interior-Point Methods with Dual Centering
by: Nesterov, Yurii
Published: (2025)
by: Nesterov, Yurii
Published: (2025)
Alternating minimization for square root principal component pursuit
by: Deng, Shengxiang, et al.
Published: (2024)
by: Deng, Shengxiang, et al.
Published: (2024)
Regularized Barzilai-Borwein method
by: An, Congpei, et al.
Published: (2022)
by: An, Congpei, et al.
Published: (2022)
Scaled Proximal Gradient Methods for Multiobjective Optimization: Improved Linear Convergence and Nesterov's Acceleration
by: Chen, Jian, et al.
Published: (2024)
by: Chen, Jian, et al.
Published: (2024)
A Proximal Stochastic Gradient Method with Adaptive Step Size and Variance Reduction for Convex Composite Optimization
by: Fang, Changjie, et al.
Published: (2025)
by: Fang, Changjie, et al.
Published: (2025)
A New Spectral Conjugate Subgradient Method with Application in Computed Tomography Image Reconstruction
by: Loreto, Milagros, et al.
Published: (2023)
by: Loreto, Milagros, et al.
Published: (2023)
cuHALLaR: A GPU Accelerated Low-Rank Augmented Lagrangian Method for Large-Scale Semidefinite Programming
by: Aguirre, Jacob M., et al.
Published: (2025)
by: Aguirre, Jacob M., et al.
Published: (2025)
Star Quasiconvexity: a Unified Approach for Linear Convergence of First-Order Methods Beyond Convexity
by: Khanh, Phan Quoc, et al.
Published: (2025)
by: Khanh, Phan Quoc, et al.
Published: (2025)
Dual Spectral Projected Gradient Method for Generalized Log-det Semidefinite Programming
by: Namchaisiri, Charles, et al.
Published: (2024)
by: Namchaisiri, Charles, et al.
Published: (2024)
Analysis of Kernel Mirror Prox for Measure Optimization
by: Dvurechensky, Pavel, et al.
Published: (2024)
by: Dvurechensky, Pavel, et al.
Published: (2024)
On Convergence and Stability of Two Extended BB-like Step Sizes
by: Xu, Xin
Published: (2025)
by: Xu, Xin
Published: (2025)
Accelerated Extragradient-Type Methods -- Part 2: Generalization and Sublinear Convergence Rates under Co-Hypomonotonicity
by: Tran-Dinh, Quoc, et al.
Published: (2025)
by: Tran-Dinh, Quoc, et al.
Published: (2025)
Low Rank Convex Clustering For Matrix-Valued Observations
by: Lin, Meixia, et al.
Published: (2024)
by: Lin, Meixia, et al.
Published: (2024)
Efficient parameter-free restarted accelerated gradient methods for convex and strongly convex optimization
by: Sujanani, Arnesh, et al.
Published: (2024)
by: Sujanani, Arnesh, et al.
Published: (2024)
On the convergence of proximal gradient methods for convex simple bilevel optimization
by: Latafat, Puya, et al.
Published: (2023)
by: Latafat, Puya, et al.
Published: (2023)
Effective Front-Descent Algorithms with Convergence Guarantees
by: Lapucci, Matteo, et al.
Published: (2024)
by: Lapucci, Matteo, et al.
Published: (2024)
Accelerated Gradient Methods with Gradient Restart: Global Linear Convergence
by: Bao, Chenglong, et al.
Published: (2024)
by: Bao, Chenglong, et al.
Published: (2024)
Linear Convergence and Error Bounds for Optimization Without Strong Convexity
by: van Treek, Kira, et al.
Published: (2025)
by: van Treek, Kira, et al.
Published: (2025)
Measure This, Not That: Optimizing the Cost and Model-Based Information Content of Measurements
by: Wang, Jialu, et al.
Published: (2024)
by: Wang, Jialu, et al.
Published: (2024)
Similar Items
-
Lipschitz-free Projected Subgradient Method with Time-varying Step-size
by: Xia, Yong, et al.
Published: (2024) -
Optimal Subgradient Methods for Lipschitz Convex Optimization with Error Bounds
by: Wang, Alex L.
Published: (2025) -
On Convergence of Regularized Barzilai-Borwein Method
by: Xu, Xin
Published: (2025) -
A Projection-Free Method for Solving Convex Bilevel Optimization Problems
by: Giang-Tran, Khanh-Hung, et al.
Published: (2023) -
Convergence, Duality and Well-Posedness in Convex Bilevel Optimization
by: Giang-Tran, Khanh-Hung, et al.
Published: (2025)