2 citations · 4 across the 3 of their papers we have counts for
3 papers
cs.LG2023
Towards Hyperparameter-Agnostic DNN Training via Dynamical System Insights
Carmel Fiscko, Aayushya Agarwal, Yihan Ruan +3
We present a stochastic first-order optimization method specialized for deep neural networks (DNNs), ECCO-DNN. This method models the optimization variable trajectory as a dynamica…
eess.SY2023★ 2 cited
An Equivalent Circuit Approach to Distributed Optimization
Aayushya Agarwal, Larry Pileggi
Distributed optimization is an essential paradigm to solve large-scale optimization problems in modern applications where big-data and high-dimensionality creates a computational b…
math.OC2023★ 2 cited
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…