A Systems-Theoretic Viewpoint on Real-Time Optimization and Feedback Games
Many iterative algorithms in optimization, games, and learning can be viewed as dynamical systems with inputs (measurements, historical data, user feedback), internal states (decision variables, state estimates, Lagrange multipliers), outputs (residuals, actuator commands), and uncertainties (noise, unknown parameters). The last few years have witnessed a growing interest in studying how learning, optimization and game-theoretic algorithms […]
New Developments for Relax and Split Methods
Abstract to come. Refreshments will be served preceding the talk, starting at 2:30.
Title TBA
Refreshments will be served preceding the talk, starting at 2:30.
Title TBA
Refreshments will be served preceding the talk, starting at 2:30.
Title TBA
Abstract to come. Refreshments will be served preceding the talk, starting at 2:30.
Title TBA
Abstract to come. Refreshments will be served preceding the talk, starting at 2:30.