activity
20072020
most citedCoalition Structure Generation over Graphs

60 citations · 106 across the 6 of their papers we have counts for

collaborators

7 papers

cs.LG2020★ 18 cited

Learning Soft Labels via Meta Learning

Nidhi Vyas, Shreyas Saxena, Thomas Voice

One-hot labels do not represent soft decision boundaries among concepts, and hence, models trained on them are prone to overfitting. Using soft labels as targets provide regulariza…

cs.NI2019

Do we need two forms of feedback in the Rate Control Protocol (RCP)?

Abuthahir Abuthahir, Gaurav Raina, Thomas Voice

There is considerable interest in the networking community in explicit congestion control as it may allow the design of a fair, stable, low loss, low delay, and high utilization ne…

eess.SY2018

Global stability of the Rate Control Protocol (RCP) and some implications for protocol design

Thomas Voice, Abuthahir, Gaurav Raina

The Rate Control Protocol (RCP) is a congestion control protocol that relies on explicit feedback from routers. RCP estimates the flow rate using two forms of feedback: rate mismat…

cs.DS2014★ 60 cited

Coalition Structure Generation over Graphs

Thomas Voice, Maria Polukarov, Nicholas R. Jennings

We give the analysis of the computational complexity of coalition structure generation over graphs. Given an undirected graph G = (N,E) and a valuation function v : P(N) \to R over…

cs.MA2013★ 4 cited

A Hierarchical Dynamic Programming Algorithm for Optimal Coalition Structure Generation

Meritxell Vinyals, Thomas Voice, Sarvapali Ramchurn +1

We present a new Dynamic Programming (DP) formulation of the Coalition Structure Generation (CSG) problem based on imposing a hierarchical organizational structure over the agents.…

cs.DS2011★ 6 cited

Graph Coalition Structure Generation

Thomas D. Voice, Maria Polukarov, Nicholas R. Jennings

We give the first analysis of the computational complexity of {\it coalition structure generation over graphs}. Given an undirected graph and a valuation function $v:2^N\…