8 citations · 19 across the 18 of their papers we have counts for
5 papers · 1 filter
Second-Order Optimization via Quiescence
Aayushya Agarwal, Larry Pileggi, Ronald Rohrer
Second-order optimization methods exhibit fast convergence to critical points, however, in nonconvex optimization, these methods often require restrictive step-sizes to ensure a mo…
An Equivalent Circuit Workflow for Unconstrained Optimization
Aayushya Agarwal, Carmel Fiscko, Soummya Kar +2
We introduce a new workflow for unconstrained optimization whereby objective functions are mapped onto a physical domain to more easily design algorithms that are robust to hyperpa…
Adversarially Robust Learning for Security-Constrained Optimal Power Flow
Priya L. Donti, Aayushya Agarwal, Neeraj Vijay Bedmutha +2
In recent years, the ML community has seen surges of interest in both adversarially robust learning and implicit layers, but connections between these two areas have seldom been ex…
Two-Stage Homotopy Method to Incorporate Discrete Control Variables into AC-OPF
Timothy McNamara, Amritanshu Pandey, Aayushya Agarwal +1
Alternating-Current Optimal Power Flow (AC-OPF) is an optimization problem critical for planning and operating the power grid. The problem is traditionally formulated using only co…
Incremental Model Building Homotopy Approach for Solving Exact AC-Constrained Optimal Power Flow
Amritanshu Pandey, Aayushya Agarwal, Larry Pileggi
Alternating-Current Optimal Power Flow (AC-OPF) is framed as a NP-hard non-convex optimization problem that solves for the most economical dispatch of grid generation given the AC-…