Online convex optimization using coordinate descent algorithms
From MaRDI portal
Publication:6566762
DOI10.1016/j.automatica.2024.111681MaRDI QIDQ6566762
Yankai Lin, Iman Shames, Dragan Nešić
Publication date: 3 July 2024
Published in: Automatica (Search for Journal in Brave)
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Logarithmic regret algorithms for online convex optimization
- Predictive online convex optimization
- Coordinate descent algorithms
- Efficiency of Coordinate Descent Methods on Huge-Scale Optimization Problems
- Online Distributed Convex Optimization on Dynamic Networks
- Stochastic sub-gradient algorithm for distributed optimization with random sleep scheme
- Online Learning and Online Convex Optimization
- Distributed Online Optimization in Dynamic Environments Using Mirror Descent
- An Online Convex Optimization Approach to Proactive Network Resource Allocation
- Online Stochastic Optimization With Time-Varying Distributions
- Distributed Bandit Online Convex Optimization With Time-Varying Coupled Inequality Constraints
- Online Optimization With Predictions and Switching Costs: Fast Algorithms and the Fundamental Limit
- Distributed Online Optimization With Long-Term Constraints
- Decentralized Online Convex Optimization With Feedback Delays
- Distributed Online Convex Optimization With Time-Varying Coupled Inequality Constraints
- Online Convex Optimization With Time-Varying Constraints and Bandit Feedback
- Online Learning of Feasible Strategies in Unknown Environments
- On the Convergence of Block Coordinate Descent Type Methods
- A Linearly Convergent Variant of the Conditional Gradient Algorithm under Strong Convexity, with Applications to Online and Stochastic Optimization
- Regret and Cumulative Constraint Violation Analysis for Distributed Online Constrained Convex Optimization
- Distributed online optimization in time-varying unbalanced networks without explicit subgradients
This page was built for publication: Online convex optimization using coordinate descent algorithms