CAREER: Towards Data-Driven, Robust, and Versatile Online Resource Allocation — NSF Award to Georgia Tech Research Corporation (GA
Online resource allocation lies at the core of computer science, operations research, and economics, addressing the persistent tradeoff between utilizing resources to seize immediate opportunities and conserving them for potentially better options in the future. Modern applications, such as online advertising, data cen
| Award title | CAREER: Towards Data-Driven, Robust, and Versatile Online Resource Allocation |
|---|---|
| Award ID | 2440113 |
| Awardee | Georgia Tech Research Corporation |
| City | ATLANTA |
| State | GA |
| Amount obligated | $263,399 |
| Principal investigator | Sahil Singla |
| Program | Algorithmic Foundations |
| Start date | 01/15/2025 |
| Abstract | Online resource allocation lies at the core of computer science, operations research, and economics, addressing the persistent tradeoff between utilizing resources to seize immediate opportunities and conserving them for potentially better options in the future. Modern applications, such as online advertising, data center management, and ride-sharing operate on a massive scale, necessitating algorithms that learn from historical data, remain robust to outliers and corruptions, and adapt to diver |
| Source | NSF Awards |
$799/mo
Try NSFGrants →