3 papers
cs.LG2021
Using BART to Perform Pareto Optimization and Quantify its Uncertainties
Akira Horiguchi, Thomas J. Santner, Ying Sun +1
Techniques to reduce the energy burden of an industrial ecosystem often require solving a multiobjective optimization problem. However, collecting experimental data can often be ei…
math.OC2019
Distributed Optimization Based on Gradient-tracking Revisited: Enhancing Convergence Rate via Surrogation
Ying Sun, Amir Daneshmand, Gesualdo Scutari
We study distributed multiagent optimization over (directed, time-varying) graphs. We consider the minimization of subject to convex constraints, where is the smooth stro…
math.OC2018
Achieving Linear Convergence in Distributed Asynchronous Multi-agent Optimization
Ye Tian, Ying Sun, Gesualdo Scutari
This papers studies multi-agent (convex and \emph{nonconvex}) optimization over static digraphs. We propose a general distributed \emph{asynchronous} algorithmic framework whereby…