160 citations · 618 across the 56 of their papers we have counts for
Showing 2020 · cs.LGShow all
2 papers · 2 filters
cs.LG2020★ 11 cited
Node-Centric Graph Learning from Data for Brain State Identification
Nafiseh Ghoroghchian, David M. Groppe, Roman Genov +2
Data-driven graph learning models a network by determining the strength of connections between its nodes. The data refers to a graph signal which associates a value with each graph…
cs.LG2020★ 25 cited
Anytime MiniBatch: Exploiting Stragglers in Online Distributed Optimization
Nuwan Ferdinand, Haider Al-Lawati, Stark C. Draper +1
Distributed optimization is vital in solving large-scale machine learning problems. A widely-shared feature of distributed optimization techniques is the requirement that all nodes…