86 citations · 108 across the 5 of their papers we have counts for
5 papers
Distributed Sparse Regression via Penalization
Yao Ji, Gesualdo Scutari, Ying Sun +1
We study sparse linear regression over a network of agents, modeled as an undirected graph (with no centralized node). The estimation problem is formulated as the minimization of t…
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…
Distributed Algorithms for Composite Optimization: Unified Framework and Convergence Analysis
Jinming Xu, Ye Tian, Ying Sun +1
We study distributed composite optimization over networks: agents minimize a sum of smooth (strongly) convex functions, the agents' sum-utility, plus a nonsmooth (extended-valued)…
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…
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…