129 citations · 238 across the 10 of their papers we have counts for
9 papers · 1 filter
Proportional-Integral Projected Gradient Method for Infeasibility Detection in Conic Optimization
Yue Yu, Ufuk Topcu
A constrained optimization problem is primal infeasible if its constraints cannot be satisfied, and dual infeasible if the constraints of its dual problem cannot be satisfied. We p…
Proportional-Integral Projected Gradient Method for Model Predictive Control
Yue Yu, Purnanand Elango, Behçet Açikmeşe
Recently there has been an increasing interest in primal-dual methods for model predictive control (MPC), which require minimizing the (augmented) Lagrangian at each iteration. We…
RC Circuits based Distributed Conditional Gradient Method
Yue Yu, Behçet Açıkmeşe
We consider distributed optimization on undirected connected graphs. We propose a novel distributed conditional gradient method with (O(1/\sqrt{k})) convergence. Compared with exis…
RLC Circuits based Distributed Mirror Descent Method
Yue Yu, Behçet Açıkmeşe
We consider distributed optimization with smooth convex objective functions defined on an undirected connected graph. Inspired by mirror descent mehod and RLC circuits, we propose…
Stochastic Bregman Parallel Direction Method of Multipliers for Distributed Optimization
Yue Yu, Behçet Açıkmeşe
Bregman parallel direction method of multipliers (BPDMM) efficiently solves distributed optimization over a network, which arises in a wide spectrum of collaborative multi-agent le…
Exploring Fast and Communication-Efficient Algorithms in Large-scale Distributed Networks
Yue Yu, Jiaxiang Wu, Junzhou Huang
The communication overhead has become a significant bottleneck in data-parallel network with the increasing of model size and data samples. In this work, we propose a new algorithm…