Equipping current decision-making tools with notions of fairness,
equita...
We investigate both stationary and time-varying, nonmonotone generalized...
We consider quadratic, nonmonotone generalized Nash equilibrium problems...
This paper presents a new regularization approach – termed OpReg-Boost –...
We propose a unified framework for time-varying convex optimization base...
Convex regression (CR) is the problem of fitting a convex function to a
...
The advent of on-demand mobility systems is expected to have a tremendou...
There is a growing cross-disciplinary effort in the broad domain of
opti...
This paper considers an online proximal-gradient method to track the
min...
Ridesharing has been emerging as a new type of mobility. However, the ea...
In tracking of time-varying low-rank models of time-varying matrices, we...
One of the cornerstones of the field of signal processing on graphs are ...