no code implementations • 7 Dec 2022 • Mayank Baranwal, Param Budhraja, Vishal Raj, Ashish R. Hota
Gradient-based first-order convex optimization algorithms find widespread applicability in a variety of domains, including machine learning tasks.
no code implementations • 2 Dec 2021 • Param Budhraja, Mayank Baranwal, Kunal Garg, Ashish Hota
We achieve this by first leveraging a continuous-time framework for designing fixed-time stable dynamical systems, and later providing a consistent discretization strategy, such that the equivalent discrete-time algorithm tracks the optimizer in a practically fixed number of iterations.
