Cover Image

Learning Acceleration Algorithms for Fast Parametric Convex Optimization with Certified Robustness

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Sambharya, Rajiv, Bok, Jinho, Matni, Nikolai, Pappas, George
Format:	Preprint
Published:	2025
Subjects:	Optimization and Control
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Verification of Sequential Convex Programming for Parametric Non-convex Optimization
by: Sambharya, Rajiv, et al.
Published: (2025)

Learning Algorithm Hyperparameters for Fast Parametric Convex Optimization
by: Sambharya, Rajiv, et al.
Published: (2024)

Data-Driven Performance Guarantees for Classical and Learned Optimizers
by: Sambharya, Rajiv, et al.
Published: (2024)

Accelerating Proximal Gradient Descent via Silver Stepsizes
by: Bok, Jinho, et al.
Published: (2024)

Optimized methods for composite optimization: a reduction perspective
by: Bok, Jinho, et al.
Published: (2025)

Learning Parametric Convex Functions
by: Schaller, Maximilian, et al.
Published: (2025)

Fast and Certifiable Trajectory Optimization
by: Kang, Shucheng, et al.
Published: (2024)

Closed-loop Analysis of ADMM-based Suboptimal Linear Model Predictive Control
by: Srikanthan, Anusha, et al.
Published: (2024)

A Nesterov-Accelerated Primal-Dual Splitting Algorithm for Convex Nonsmooth Optimization
by: Condat, Laurent, et al.
Published: (2026)

Accelerated Gradient Methods for Geodesically Convex Optimization: Tractable Algorithms and Convergence Analysis
by: Kim, Jungbin, et al.
Published: (2022)

On Distributionally Robust Multistage Convex Optimization: New Algorithms and Complexity Analysis
by: Zhang, Shixuan, et al.
Published: (2020)

Towards a Theory of Control Architecture: A quantitative framework for layered multi-rate control
by: Matni, Nikolai, et al.
Published: (2024)

Parametric Nonconvex Optimization via Convex Surrogates
by: Wang, Renzi, et al.
Published: (2026)

Differentiability and Regularization of Parametric Convex Value Functions in Stochastic Multistage Optimization
by: Franc, Adrien Le, et al.
Published: (2022)

Continuized Nesterov Acceleration for Non-Convex Optimization
by: Hermant, Julien, et al.
Published: (2025)

Accelerated Backward Forward Method for Convex Optimization
by: Wang, Zepeng, et al.
Published: (2026)

A Parametric Approach for Solving Convex Quadratic Optimization with Indicators Over Trees
by: Bhathena, Aaresh, et al.
Published: (2024)

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

Adaptive Accelerated Gradient Descent Methods for Convex Optimization
by: Xu, Zeyi, et al.
Published: (2026)

Robust Online Convex Optimization for Disturbance Rejection
by: Lai, Joyce, et al.
Published: (2024)

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

Global and Robust Optimization for Non-Convex Quadratic Programs
by: Marousi, Asimina, et al.
Published: (2025)

PAMSO: Parametric Autotuning Multi-time Scale Optimization Algorithm
by: Ramanujam, Asha, et al.
Published: (2024)

An Adaptive and Parameter-Free Nesterov's Accelerated Gradient Method for Convex Optimization
by: Suh, Jaewook J., et al.
Published: (2025)

Deterministic and Stochastic Accelerated Gradient Method for Convex Semi-Infinite Optimization
by: Yao, Yao, et al.
Published: (2023)

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

A Parameter-free Decentralized Algorithm for Composite Convex Optimization
by: Chen, Xiaokai, et al.
Published: (2025)

Adaptive Algorithms for Relatively Lipschitz Continuous Convex Optimization Problems
by: Stonyakin, Fedor, et al.
Published: (2021)

Policy Optimization in Robust Control: Weak Convexity and Subgradient Methods
by: Watanabe, Yuto, et al.
Published: (2025)

A Survey of Exact and Approximation Algorithms for Linear-Parametric Optimization Problems
by: Nemesch, Levin, et al.
Published: (2025)

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

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

Acceleration by Stepsize Hedging II: Silver Stepsize Schedule for Smooth Convex Optimization
by: Altschuler, Jason M., et al.
Published: (2023)

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

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

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

Technical Report: A Totally Asynchronous Nesterov's Accelerated Gradient Method for Convex Optimization
by: Pond, Ellie, et al.
Published: (2024)

Unconstrained Robust Online Convex Optimization
by: Zhang, Jiujia, et al.
Published: (2025)

Optimal Acceleration for Proximal Minimization of the Sum of Convex and Strongly Convex Functions
by: Chari, Govind M., et al.
Published: (2026)

A Class of Convex Optimization-Based Recursive Algorithms for Identification of Stochastic Systems
by: Ding, Mingxia, et al.
Published: (2024)