All Stories

  1. Learning to Allocate Reusable Resources under Stochastic Rewards and Durations
  2. Online Smoothed Demand Management
  3. A Unified Framework for Online Combinatorial Allocation of Reusable Resources under Endogenous Deterioration
  4. Heterogeneous Multi-agent Multi-armed Bandit on Stochastic Block Models
  5. Green Bin Packing
  6. A Unified Framework for Online Combinatorial Allocation of Reusable Resources under Endogenous Deterioration
  7. Learning to Allocate Reusable Resources under Stochastic Rewards and Durations
  8. Green Bin Packing
  9. BOLA360: Near-optimal View and Bitrate Adaptation for 360-degree Video Streaming
  10. Heterogeneous Multi-agent Multi-armed Bandit on Stochastic Block Models
  11. Multi-objective Evolutionary Learning for Near Pareto-Optimal Optimization of Solar Deployment
  12. NIVM: Real-time View Morphing via Neural Implicit Function
  13. Carbon- and Precedence-Aware Scheduling for Data Processing Clusters
  14. Dynamic Incentive Allocation for City-Scale Deep Decarbonization
  15. Toward Environmentally Equitable AI
  16. Combinatorial Logistic Bandits
  17. Asynchronous Multi-Agent Bandits: Fully Distributed vs. Leader-Coordinated Algorithms
  18. Learning-Augmented Competitive Algorithms for Spatiotemporal Online Allocation with Deadline Constraints
  19. Online Fair Allocation of Reusable Resources
  20. Learning-Augmented Competitive Algorithms for Spatiotemporal Online Allocation with Deadline Constraints
  21. Online Fair Allocation of Reusable Resources
  22. Asynchronous Multi-Agent Bandits: Fully Distributed vs. Leader-Coordinated Algorithms
  23. Combinatorial Logistic Bandits
  24. Online Fair Allocation of Reusable Resources
  25. Learning-Augmented Competitive Algorithms for Spatiotemporal Online Allocation with Deadline Constraints
  26. Asynchronous Multi-Agent Bandits: Fully Distributed vs . Leader-Coordinated Algorithms
  27. SODA: An Adaptive Bitrate Controller for Consistent High-Quality Video Streaming
  28. Online Conversion with Switching Costs: Robust and Learning-Augmented Algorithms
  29. The Online Pause and Resume Problem: Optimal Algorithms and An Application to Carbon-Aware Load Shifting
  30. BONES: Near-Optimal Neural-Enhanced Video Streaming
  31. The Online Pause and Resume Problem: Optimal Algorithms and An Application to Carbon-Aware Load Shifting
  32. BONES: Near-Optimal Neural-Enhanced Video Streaming
  33. Online Conversion with Switching Costs: Robust and Learning-Augmented Algorithms
  34. LACS: Learning-Augmented Algorithms for Carbon-Aware Resource Scaling with Uncertain Demand
  35. Online Search with Predictions: Pareto-optimal Algorithm and its Applications in Energy Markets
  36. A Holistic Approach for Equity-aware Carbon Reduction of the Ridesharing Platforms
  37. BONES: Near-Optimal Neural-Enhanced Video Streaming
  38. BOLA360
  39. The Online Pause and Resume Problem: Optimal Algorithms and An Application to Carbon-Aware Load Shifting
  40. Quantifying the Decarbonization Potential of Flexible Load
  41. Trade-off Analysis in Learning-augmented Algorithms with Societal Design Criteria
  42. Quantum Best Arm Identification
  43. The Online Knapsack Problem with Departures
  44. The Online Knapsack Problem with Departures
  45. Near-optimal Online Algorithms for Joint Pricing and Scheduling in EV Charging Networks
  46. Equitable Network-Aware Decarbonization of Residential Heating at City Scale
  47. The Online Knapsack Problem with Departures
  48. Hierarchical Learning Algorithms for Multi-scale Expert Problems
  49. Competitive Algorithms for Online Multidimensional Knapsack Problems
  50. Hierarchical Learning Algorithms for Multi-scale Expert Problems
  51. Competitive Algorithms for Online Multidimensional Knapsack Problems
  52. Hierarchical Learning Algorithms for Multi-scale Expert Problems
  53. Competitive Bidding Strategies for Online Linear Optimization with Inventory Management Constraints
  54. Competitive Algorithms for Online Multidimensional Knapsack Problems
  55. Online peak-aware energy scheduling with untrusted advice
  56. Online Peak-Aware Energy Scheduling with Untrusted Advice
  57. Competitive Algorithms for the Online Multiple Knapsack Problem with Application to Electric Vehicle Charging
  58. Competitive Algorithms for the Online Multiple Knapsack Problem with Application to Electric Vehicle Charging
  59. Ride Substitution Using Electric Bike Sharing
  60. Competitive Algorithms for the Online Multiple Knapsack Problem with Application to Electric Vehicle Charging
  61. Online Linear Optimization with Inventory Management Constraints
  62. Emission-aware Energy Storage Scheduling for a Greener Grid
  63. Online Linear Optimization with Inventory Management Constraints