High-quality machine learning models are dependent on access to high-quality training data. When the data are not already available, it is tedious and costly to obtain them. Data markets help with ...

Elzayn, Hadi, Shahin Jabbari, Christopher Jung, Michael J Kearns, Seth Neel, Aaron Leon Roth, and Zachary Schutzman. "Fair Algorithms for Learning in Allocation Problems." Proceedings of the ...

Receiving a heart transplant is a matter of life and death for many patients. Every time a heart becomes available, a “match run” is created to generate a list of transplant candidates ranked by an ...

Control allocation algorithms for quadrotor unmanned aerial vehicles (UAVs) avoid incorporating relatively minor aerodynamic effects such as ‘blade flapping' and induced drag in order to simplify the ...

The Adaptive Asset Allocation (AAA) portfolio combines two different tactical approaches (momentum and minimum variance) into one algorithm. The intention of this portfolio recipe is to optimize ...

When the Omicron surge threatened to overwhelm hospitals and the number of infections greatly exceeded the quantities of anti-Covid therapies that might help keep people out of the hospital, the need ...