3 papers
cs.LG2024
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…
math.OC2023
Accelerated Algorithms for a Class of Optimization Problems with Equality and Box Constraints
Anjali Parashar, Priyank Srivastava, Anuradha M. Annaswamy
Convex optimization with equality and inequality constraints is a ubiquitous problem in several optimization and control problems in large-scale systems. Recently there has been a…
math.OC2022
Accelerated Algorithms for a Class of Optimization Problems with Constraints
Anjali Parashar, Priyank Srivastava, Anuradha M. Annaswamy
This paper presents a framework to solve constrained optimization problems in an accelerated manner based on High-Order Tuners (HT). Our approach is based on reformulating the orig…