Image de couverture de livre

Online Convex Optimization and Integral Quadratic Constraints: An automated approach to regret analysis

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Jakob, Fabian, Iannelli, Andrea
Format:	Preprint
Publié:	2025
Sujets:	Optimization and Control Machine Learning Systems and Control
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Convergence and stability of Q-learning in Hierarchical Reinforcement Learning
par: Manenti, Massimiliano, et autres
Publié: (2025)

Analysis and Synthesis of Switched Optimization Algorithms
par: Miller, Jared, et autres
Publié: (2025)

End-to-end guarantees for indirect data-driven control of bilinear systems with finite stochastic data
par: Chatzikiriakos, Nicolas, et autres
Publié: (2024)

Hidden Convexity in Active Learning: A Convexified Online Input Design for ARX Systems
par: Chatzikiriakos, Nicolas, et autres
Publié: (2025)

A Complete Set of Quadratic Constraints for Repeated ReLU and Generalizations
par: Noori, Sahel Vahedi, et autres
Publié: (2024)

Parametric Nonconvex Optimization via Convex Surrogates
par: Wang, Renzi, et autres
Publié: (2026)

Accelerated ADMM: Automated Parameter Tuning and Improved Linear Convergence
par: Tavakoli, Meisam, et autres
Publié: (2025)

Adaptive control mechanisms in gradient descent algorithms
par: Iannelli, Andrea
Publié: (2025)

HUANet: Hard-Constrained Unrolled ADMM for Constrained Convex Optimization
par: Tran, Trinh, et autres
Publié: (2026)

Optimal Algorithms for Online Convex Optimization with Adversarial Constraints
par: Sinha, Abhishek, et autres
Publié: (2023)

Distributed Online Convex Optimization with Nonseparable Costs and Constraints
par: Pan, Zhaoye, et autres
Publié: (2026)

Tight Bounds for Online Convex Optimization with Adversarial Constraints
par: Sinha, Abhishek, et autres
Publié: (2024)

An Optimistic Algorithm for Online Convex Optimization with Adversarial Constraints
par: Lekeufack, Jordan, et autres
Publié: (2024)

Expressivity of Quadratic Neural ODEs
par: Hanson, Joshua, et autres
Publié: (2025)

Projection-Free Online Convex Optimization with Time-Varying Constraints
par: Garber, Dan, et autres
Publié: (2024)

Optimistic Safety for Online Convex Optimization with Unknown Linear Constraints
par: Hutchinson, Spencer, et autres
Publié: (2024)

Beyond $\tilde{O}(\sqrt{T})$ Constraint Violation for Online Convex Optimization with Adversarial Constraints
par: Sinha, Abhishek, et autres
Publié: (2025)

Online Optimization Perspective on First-Order and Zero-Order Decentralized Nonsmooth Nonconvex Stochastic Optimization
par: Sahinoglu, Emre, et autres
Publié: (2024)

Learning Decentralized Linear Quadratic Regulators with $\sqrt{T}$ Regret
par: Ye, Lintao, et autres
Publié: (2022)

On Constraints in First-Order Optimization: A View from Non-Smooth Dynamical Systems
par: Muehlebach, Michael, et autres
Publié: (2021)

A Variance-Reduced Stochastic Gradient Tracking Algorithm for Decentralized Optimization with Orthogonality Constraints
par: Wang, Lei, et autres
Publié: (2022)

Online Nonstochastic Control with Convex Safety Constraints
par: Jiang, Nanfei, et autres
Publié: (2025)

Sample Complexity of Linear Quadratic Regulator Without Initial Stability
par: Moghaddam, Amirreza Neshaei, et autres
Publié: (2025)

Regret Analysis of Policy Optimization over Submanifolds for Linearly Constrained Online LQG
par: Chang, Ting-Jui, et autres
Publié: (2024)

A Passivity-Based Method for Accelerated Convex Optimisation
par: Cho, Namhoon, et autres
Publié: (2023)

Safe and Efficient Online Convex Optimization with Linear Budget Constraints and Partial Feedback
par: Liu, Shanqi, et autres
Publié: (2024)

Sub-optimality of the Separation Principle for Quadratic Control from Bilinear Observations
par: Sattar, Yahya, et autres
Publié: (2025)

Sample Complexity of the Linear Quadratic Regulator: A Reinforcement Learning Lens
par: Moghaddam, Amirreza Neshaei, et autres
Publié: (2024)

Tsallis Entropy Regularization for Linearly Solvable MDP and Linear Quadratic Regulator
par: Hashizume, Yota, et autres
Publié: (2024)

Cost-Driven Representation Learning for Linear Quadratic Gaussian Control: Part I
par: Tian, Yi, et autres
Publié: (2022)

Cost-Driven Representation Learning for Linear Quadratic Gaussian Control: Part II
par: Tian, Yi, et autres
Publié: (2026)

Model-Free Learning for the Linear Quadratic Regulator over Rate-Limited Channels
par: Ye, Lintao, et autres
Publié: (2024)

Finite Horizon Robustness Analysis of LTV Systems Using Integral Quadratic Constraints
par: Seiler, Peter, et autres
Publié: (2017)

Analysis of Gradient Descent with Varying Step Sizes using Integral Quadratic Constraints
par: Padmanabhan, Ram, et autres
Publié: (2022)

Fast and Reliable $N-k$ Contingency Screening with Input-Convex Neural Networks
par: Christianson, Nicolas, et autres
Publié: (2024)

Convex Hulls of Reachable Sets
par: Lew, Thomas, et autres
Publié: (2023)

Fixed Horizon Linear Quadratic Covariance Steering in Continuous Time with Hilbert-Schmidt Terminal Cost
par: Sial, Tushar, et autres
Publié: (2025)

Near-Optimal Distributed Linear-Quadratic Regulator for Networked Systems
par: Shin, Sungho, et autres
Publié: (2022)

Smooth Quasar-Convex Optimization with Constraints
par: Martínez-Rubio, David
Publié: (2025)

Scaled Relative Graphs and Dynamic Integral Quadratic Constraints: Connections and Computations for Nonlinear Systems
par: de Groot, Timo, et autres
Publié: (2026)