806 citations · 7.4k across the 169 of their papers we have counts for
4 papers · 2 filters
Randomized Block Frank-Wolfe for Convergent Large-Scale Learning
Liang Zhang, Gang Wang, Daniel Romero +1
Owing to their low-complexity iterations, Frank-Wolfe (FW) solvers are well suited for various large-scale learning tasks. When block-separable constraints are present, randomized…
Scheduling of EV Battery Swapping, II: Distributed Solutions
Pengcheng You, Steven H. Low, Liang Zhang +4
In Part I of this paper we formulate an optimal scheduling problem for battery swapping that assigns to each electric vehicle (EV) a best station to swap its depleted battery based…
Stochastic Averaging for Constrained Optimization with Application to Online Resource Allocation
Tianyi Chen, Aryan Mokhtari, Xin Wang +2
Existing approaches to resource allocation for nowadays stochastic networks are challenged to meet fast convergence and tolerable delay requirements. The present paper leverages on…
Two-Timescale Stochastic Dispatch of Smart Distribution Grids
Luis M. Lopez-Ramos, Vassilis Kekatos, Antonio G. Marques +1
Smart distribution grids should efficiently integrate stochastic renewable resources while effecting voltage regulation. The design of energy management schemes is challenging, one…