All Stories

  1. Special Issue on the Fourth Workshop on Learning-augmented Algorithms: Theory and Applications (LATA 2026)
  2. Online Smoothed Demand Management
  3. Online Smoothed Demand Management
  4. Multi-objective Evolutionary Learning for Near Pareto-Optimal Optimization of Solar Deployment
  5. Carbon- and Precedence-Aware Scheduling for Data Processing Clusters
  6. Local Edge Dynamics and Opinion Polarization
  7. Dynamic Incentive Allocation for City-Scale Deep Decarbonization
  8. Learning-Augmented Competitive Algorithms for Spatiotemporal Online Allocation with Deadline Constraints
  9. Learning-Augmented Competitive Algorithms for Spatiotemporal Online Allocation with Deadline Constraints
  10. Learning-Augmented Competitive Algorithms for Spatiotemporal Online Allocation with Deadline Constraints
  11. Examining The Adoption of Electromobility Concepts Across Social Contexts For Energy Transition
  12. Online Conversion with Switching Costs: Robust and Learning-Augmented Algorithms
  13. The Online Pause and Resume Problem: Optimal Algorithms and An Application to Carbon-Aware Load Shifting
  14. The Online Pause and Resume Problem: Optimal Algorithms and An Application to Carbon-Aware Load Shifting
  15. Online Conversion with Switching Costs: Robust and Learning-Augmented Algorithms
  16. LACS: Learning-Augmented Algorithms for Carbon-Aware Resource Scaling with Uncertain Demand
  17. The Online Pause and Resume Problem: Optimal Algorithms and An Application to Carbon-Aware Load Shifting
  18. Equitable Network-Aware Decarbonization of Residential Heating at City Scale
  19. Local Edge Dynamics and Opinion Polarization
  20. FlowSense