Cover Image

Convex Synthesis of First-Order Methods for Time-Varying Smooth Strongly Convex Optimization

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Van Scoy, Bryan, Bianchin, Gianluca
Format:	Preprint
Published:	2026
Subjects:	Optimization and Control
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

The Internal Model Principle of Time-Varying Optimization
by: Bianchin, Gianluca, et al.
Published: (2024)

Feedback Optimization of Dynamical Systems in Time-Varying Environments: An Internal Model Principle Approach
by: Bianchin, Gianluca, et al.
Published: (2025)

The Fastest Known First-Order Method for Minimizing Twice Continuously Differentiable Smooth Strongly Convex Functions
by: Van Scoy, Bryan, et al.
Published: (2025)

Temporal Variabilities Limit Convergence Rates in Gradient-Based Online Optimization
by: Van Scoy, Bryan, et al.
Published: (2025)

Stochastic Decentralized Optimization of Non-Smooth Convex and Convex-Concave Problems over Time-Varying Networks
by: Divilkovskiy, Maxim, et al.
Published: (2025)

Prediction-Correction Algorithm for Time-Varying Smooth Non-Convex Optimization
by: Iwakiri, Hidenori, et al.
Published: (2024)

The Speed-Robustness Trade-Off for First-Order Methods with Additive Gradient Noise
by: Van Scoy, Bryan, et al.
Published: (2021)

Power of Generalized Smoothness in Stochastic Convex Optimization: First- and Zero-Order Algorithms
by: Lobanov, Aleksandr, et al.
Published: (2025)

Two-point Random Gradient-free Methods for Model-free Feedback Optimization
by: Mehrnoosh, Amir, et al.
Published: (2025)

Optimization of Linear Multi-Agent Dynamical Systems via Feedback Distributed Gradient Descent Methods
by: Mehrnoosh, Amir, et al.
Published: (2024)

Adaptive Accelerated Gradient Method for Smooth Convex Optimization
by: Wang, Zepeng, et al.
Published: (2025)

Nonlinear Optimization Filters for Stochastic Time-Varying Convex Optimization
by: Simonetto, Andrea, et al.
Published: (2023)

Graph Isomorphism: Mixed-Integer Convex Optimization from First-Order Methods
by: Xiao, Wenjie, et al.
Published: (2025)

Distributed Prediction-Correction ADMM for Time-Varying Convex Optimization
by: Bastianello, Nicola, et al.
Published: (2020)

Accelerated Distance-adaptive Methods for Hölder Smooth and Convex Optimization
by: Ren, Yijin, et al.
Published: (2025)

A Proximal Method for Composite Optimization with Smooth and Convex Components
by: Uzun, Samet, et al.
Published: (2025)

$\mathcal{L}_{1}$ Adaptive Optimizer for Online Time-Varying Convex Optimization
by: Kim, Jinrae, et al.
Published: (2024)

Lower Complexity Bounds for Nonconvex-Strongly-Convex Bilevel Optimization with First-Order Oracles
by: Ji, Kaiyi
Published: (2025)

The Method of Ellipcenters for Strongly Convex Functions
by: Bello-Cruz, Yunier
Published: (2026)

Distributed Event-Triggered Bandit Convex Optimization with Time-Varying Constraints
by: Zhang, Kunpeng, et al.
Published: (2024)

Optimal Leveraging of Smoothness and Strong Convexity for Peaceman--Rachford Splitting
by: Briceño-Arias, Luis, et al.
Published: (2026)

Revisit First-order Methods for Geodesically Convex Optimization
by: Shu, Yunlu, et al.
Published: (2025)

Lower Bounds and Optimal Algorithms for Non-Smooth Convex Decentralized Optimization over Time-Varying Networks
by: Kovalev, Dmitry, et al.
Published: (2024)

Gradient Descent for Convex and Smooth Noisy Optimization
by: Hu, Feifei, et al.
Published: (2024)

Adaptive Variant of Frank-Wolfe Method for Relative Smooth Convex Optimization Problems
by: Vyguzov, Alexander, et al.
Published: (2024)

Projection-Free Online Convex Optimization with Time-Varying Constraints
by: Garber, Dan, et al.
Published: (2024)

Time-Varying Convex Optimization with $O(n)$ Computational Complexity
by: Rostami, M., et al.
Published: (2024)

An Accelerated Gradient Method for Convex Smooth Simple Bilevel Optimization
by: Cao, Jincheng, et al.
Published: (2024)

Non-Euclidean High-Order Smooth Convex Optimization
by: Contreras, Juan Pablo, et al.
Published: (2024)

Time-Varying Convex Optimization: A Contraction and Equilibrium Tracking Approach
by: Davydov, Alexander, et al.
Published: (2023)

Smooth Quasar-Convex Optimization with Constraints
by: Martínez-Rubio, David
Published: (2025)

A Smooth Approximation Framework for Weakly Convex Optimization
by: Deng, Qi, et al.
Published: (2025)

First Order Algorithm on an Optimization Problem with Improved Convergence when Problem is Convex
by: Sim, Chee-Khian
Published: (2025)

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

A Practical and Optimal First-Order Method for Large-Scale Convex Quadratic Programming
by: Lu, Haihao, et al.
Published: (2023)

Zeroth-Order Katyusha: An Accelerated Derivative-Free Method for Composite Convex Optimization
by: Zhang, Silan, et al.
Published: (2024)

Beyond Smoothness and Convexity: Optimization via sampling
by: Seyoum, Nahom, et al.
Published: (2025)

Lower Bounds for Linear Minimization Oracle Methods Optimizing over Strongly Convex Sets
by: Grimmer, Benjamin, et al.
Published: (2026)

Complexity of Projected Gradient Methods for Strongly Convex Optimization with Hölder Continuous Gradient Terms
by: Chen, Xiaojun, et al.
Published: (2026)

Polyak Minorant Method for Convex Optimization
by: Devanathan, Nikhil, et al.
Published: (2023)