42 citations · 78 across the 11 of their papers we have counts for
4 papers · 1 filter
A Distributed Online Convex Optimization Algorithm with Improved Dynamic Regret
Yan Zhang, Robert J. Ravier, Michael M. Zavlanos +1
In this paper, we consider the problem of distributed online convex optimization, where a network of local agents aim to jointly optimize a convex function over a period of multipl…
Distributed Online Convex Optimization with Improved Dynamic Regret
Yan Zhang, Robert J. Ravier, Vahid Tarokh +1
In this paper, we consider the problem of distributed online convex optimization, where a group of agents collaborate to track the global minimizers of a sum of time-varying object…
Learning Partial Differential Equations from Data Using Neural Networks
Ali Hasan, João M. Pereira, Robert Ravier +2
We develop a framework for estimating unknown partial differential equations from noisy data, using a deep learning approach. Given noisy samples of a solution to an unknown PDE, o…
Prediction in Online Convex Optimization for Parametrizable Objective Functions
Robert Ravier, Vahid Tarokh
Many techniques for online optimization problems involve making decisions based solely on presently available information: fewer works take advantage of potential predictions. In t…