2 papers
cs.LG2025
On the stability of gradient descent with second order dynamics for time-varying cost functions
Travis E. Gibson, Sawal Acharya, Anjali Parashar +2
Gradient based optimization algorithms deployed in Machine Learning (ML) applications are often analyzed and compared by their convergence rates or regret bounds. While these rates…
eess.SY2025
Regret Analysis: a control perspective
Travis E. Gibson, Sawal Acharya
Online learning and model reference adaptive control have many interesting intersections. One area where they differ however is in how the algorithms are analyzed and what objectiv…