Image de couverture de livre

Online Optimization for Randomized Network Resource Allocation with Long-Term Constraints

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Sid-Ali, Ahmed, Lambadaris, Ioannis, Zhao, Yiqiang Q., Shaikhet, Gennady, Kheradmand, Shima
Format:	Preprint
Publié:	2023
Sujets:	Optimization and Control Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Exponentially Weighted Algorithm for Online Network Resource Allocation with Long-Term Constraints
par: Sid-Ali, Ahmed, et autres
Publié: (2024)

Online Resource Allocation with Average Budget Constraints
par: Ao, Ruicheng, et autres
Publié: (2024)

Optimal and Heuristic Approaches for Platooning Systems with Deadlines
par: Gomides, Thiago S., et autres
Publié: (2025)

Online Resource Allocation with Non-Stationary Customers
par: Zhang, Xiaoyue, et autres
Publié: (2024)

Online Non-convex Optimization with Long-term Non-convex Constraints
par: Pan, Shijie, et autres
Publié: (2023)

Tight Long-Term Tail Decay of (Clipped) SGD in Non-Convex Optimization
par: Armacki, Aleksandar, 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)

Best of Many in Both Worlds: Online Resource Allocation with Predictions under Unknown Arrival Model
par: An, Lin, et autres
Publié: (2024)

Online Learning for Approximately-Convex Functions with Long-term Adversarial Constraints
par: Sarkar, Dhruv, et autres
Publié: (2025)

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

Asynchronous and Stochastic Distributed Resource Allocation
par: Li, Qiang, et autres
Publié: (2025)

Efficient Optimization with Orthogonality Constraint: a Randomized Riemannian Submanifold Method
par: Han, Andi, et autres
Publié: (2025)

Online Convex Optimization and Integral Quadratic Constraints: An automated approach to regret analysis
par: Jakob, Fabian, et autres
Publié: (2025)

Online Convex Optimization for Coordinated Long-Term and Short-Term Isolated Microgrid Dispatch
par: Qi, Ning, et autres
Publié: (2025)

Decoupling Learning and Decision-Making: Breaking the $\mathcal{O}(\sqrt{T})$ Barrier in Online Resource Allocation with First-Order Methods
par: Gao, Wenzhi, et autres
Publié: (2024)

Online Resource Allocation with Convex-set Machine-Learned Advice
par: Golrezaei, Negin, et autres
Publié: (2023)

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

Statistical inference for mean-field queueing systems
par: Lambadaris, Ioannis, et autres
Publié: (2024)

Byzantine-Resilient Decentralized Online Resource Allocation
par: Wang, Runhua, et autres
Publié: (2025)

Decentralized Multi-Task Online Convex Optimization Under Random Link Failures
par: Yan, Wenjing, et autres
Publié: (2024)

Learning-Augmented Decentralized Online Convex Optimization in Networks
par: Li, Pengfei, et autres
Publié: (2023)

Non-Stationary Online Resource Allocation: Learning from a Single Sample
par: Feng, Yiding, et autres
Publié: (2026)

Learning Optimal and Fair Policies for Online Allocation of Scarce Societal Resources from Data Collected in Deployment
par: Tang, Bill, et autres
Publié: (2023)

Distributed Constraint-coupled Resource Allocation: Anytime Feasibility and Violation Robustness
par: Wu, Wenwen, et autres
Publié: (2025)

Gradient-Variation Online Adaptivity for Accelerated Optimization with Hölder Smoothness
par: Zhao, Yuheng, et autres
Publié: (2025)

Online Fair Allocation of Perishable Resources
par: Banerjee, Siddhartha, et autres
Publié: (2024)

Online Allocation of Throughput-Constrained Resources Using Proxy Assignments
par: Hssaine, Chamsi, et autres
Publié: (2024)

Online Markov Decision Processes with Terminal Law Constraints
par: Moreno, Bianca Marin, et autres
Publié: (2026)

The Limit Points of (Optimistic) Gradient Descent in Min-Max Optimization
par: Daskalakis, Constantinos, et autres
Publié: (2018)

Data-Driven Long-Term Asset Allocation with Tsallis Entropy Regularization
par: Zhang, Haoran, et autres
Publié: (2025)

Universal Online Convex Optimization with $1$ Projection per Round
par: Yang, Wenhao, et autres
Publié: (2024)

Multi-Step Deep Koopman Network (MDK-Net) for Vehicle Control in Frenet Frame
par: Abtahi, Mohammad, et autres
Publié: (2025)

A Simple, Optimal and Efficient Algorithm for Online Exp-Concave Optimization
par: Wang, Yi-Han, et autres
Publié: (2025)

Stochastic Compositional Optimization with Compositional Constraints
par: Yang, Shuoguang, et autres
Publié: (2022)

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