:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Burns, Matthew X., Liang, Jiaming
Format:	Preprint
Published:	2026
Subjects:	Optimization and Control
Online Access:	https://arxiv.org/abs/2602.17878
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Inexact Accelerated Proximal Gradient Method Revisit: An Economical Variant via Shadow Points
by: Yang, Lei, et al.
Published: (2025)

Accuracy Certificates for Convex Optimization at Accelerated Rates via Primal-Dual Averaging
by: Burns, Matthew X., et al.
Published: (2026)

D-ripALM: A Tuning-friendly Decentralized Relative-Type Inexact Proximal Augmented Lagrangian Method
by: Zhu, Jiayi, et al.
Published: (2026)

ripALM: A Relative-Type Inexact Proximal Augmented Lagrangian Method for Linearly Constrained Convex Optimization
by: Zhu, Jiayi, et al.
Published: (2024)

Global Convergence Analysis of the Power Proximal Point and Augmented Lagrangian Method
by: Oikonomidis, Konstantinos A., et al.
Published: (2023)

A Relative Inexact Proximal Gradient Method with an Explicit Linesearch
by: Bello-Cruz, Yunier, et al.
Published: (2024)

Distributed and Inexact Proximal Gradient Method for Online Convex Optimization
by: Bastianello, Nicola, et al.
Published: (2020)

Variance Reduction and Low Sample Complexity in Stochastic Optimization via Proximal Point Method
by: Liang, Jiaming
Published: (2024)

Two Innovations in Inexact Augmented Lagrangian Methods for Convex Optimization
by: Eckstein, Jonathan, et al.
Published: (2025)

Halpern Acceleration of the Inexact Proximal Point Method of Rockafellar
by: Zhang, Liwei, et al.
Published: (2025)

Inexact and Implementable Accelerated Newton Proximal Extragradient Method for Convex Optimization
by: Huang, Ziyu, et al.
Published: (2024)

Inexact Augmented Lagrangian Methods for Conic Programs: Quadratic Growth and Linear Convergence
by: Liao, Feng-Yi, et al.
Published: (2024)

Restart-Free (Accelerated) Gradient Sliding Methods for Strongly Convex Composite Optimization
by: Wu, Xinming, et al.
Published: (2026)

Convergence Rate Analysis for Monotone Accelerated Proximal Gradient Method
by: Wang, Zepeng, et al.
Published: (2025)

Robust Learning Meets Quasar-Convex Optimization: Inexact High-Order Proximal-Point Methods
by: Kabgani, Alireza, et al.
Published: (2026)

On the Oracle Complexity of a Riemannian Inexact Augmented Lagrangian Method for Riemannian Nonsmooth Composite Problems
by: Xu, Meng, et al.
Published: (2024)

Inexact Bregman Proximal Gradient Method and its Inertial Variant with Absolute and Partial Relative Stopping Criteria
by: Yang, Lei, et al.
Published: (2021)

An Inexact Weighted Proximal Trust-Region Method
by: Maia, Leandro Farias, et al.
Published: (2026)

An Inexact Preconditioned Zeroth-order Proximal Method for Composite Optimization
by: Liu, Shanglin, et al.
Published: (2024)

An Inexact Proximal Framework for Nonsmooth Riemannian Difference-of-Convex Optimization
by: Jiang, Bo, et al.
Published: (2025)

Accelerated Proximal Gradient Method with Backtracking for Multiobjective Optimization
by: Huang, Chengzhi, et al.
Published: (2024)

Inexact Proximal Point and Tseng Algorithms with Nonsummable Errors to Solve Monotone Inclusions
by: Le, Ba Khiet, et al.
Published: (2026)

OFF (Proximal) Newton-type Methods with Inexact Derivatives for Unconstrained Optimization
by: Zhu, Hong
Published: (2025)

Convergence Analysis of a Relative-type Inexact Preconditioned Proximal ALM for Convex Nonlinear Programming
by: Yang, Lei, et al.
Published: (2025)

An Inexact Conditional Gradient Method for Constrained Bilevel Optimization
by: Abolfazli, Nazanin, et al.
Published: (2023)

All roads lead to Rome: Path-following Augmented Lagrangian Methods via Bregman Proximal Regularization
by: Laude, Emanuel
Published: (2026)

An Inexact Variable Metric Proximal Gradient-subgradient Algorithm for a Class of Fractional Optimization Problems
by: Yang, Lei, et al.
Published: (2025)

Nonasymptotic Analysis of Accelerated Methods With Inexact Oracle Under Absolute Error Bound
by: Liu, Yin, et al.
Published: (2024)

Accelerated Gradient Methods with Gradient Restart: Global Linear Convergence
by: Bao, Chenglong, et al.
Published: (2024)

Smoothing Accelerated Proximal Gradient Method with Backtracking for Nonsmooth Multiobjective Optimization
by: Chengzhi, Huang
Published: (2025)

Inexactly Smooth Performance Estimation and New Optimized Gradient Methods
by: Zoll, Aaron, et al.
Published: (2026)

On Some Versions of Subspace Optimization Methods with Inexact Gradient Information
by: Kuruzov, Ilya, et al.
Published: (2024)

Accelerated Primal-Dual Proximal Gradient Splitting Methods for Convex-Concave Saddle-Point Problems
by: Luo, Hao
Published: (2024)

Restarted Primal-Dual Hybrid Conjugate Gradient Method for Large-Scale Quadratic Programming
by: Huang, Yicheng, et al.
Published: (2024)

Boosting Accelerated Proximal Gradient Method with Adaptive Sampling for Stochastic Composite Optimization
by: Zhu, Dongxuan, et al.
Published: (2025)

Fast Accelerated Proximal Gradient Method with New Extrapolation Term for Multiobjective Optimization
by: Huang, Chengzhi
Published: (2025)

Universal Adaptive Proximal Gradient Methods via Gradient Mapping Accumulation
by: Wang, Zimeng, et al.
Published: (2026)

Damped Proximal Augmented Lagrangian Method for weakly-Convex Problems with Convex Constraints
by: Dahal, Hari, et al.
Published: (2023)

A Corrected Inexact Proximal Augmented Lagrangian Method with a Relative Error Criterion for a Class of Group-quadratic Regularized Optimal Transport Problems
by: Yang, Lei, et al.
Published: (2023)

On the Acceleration of Proximal Bundle Methods
by: Fersztand, David, et al.
Published: (2025)