157 citations · 713 across the 56 of their papers we have counts for
4 papers · 1 filter
Online Influence Maximization with Local Observations
Julia Olkhovskaya, Gergely Neu, Gábor Lugosi
We consider an online influence maximization problem in which a decision maker selects a node among a large number of possibilities and places a piece of information at the node. T…
Potential and Pitfalls of Multi-Armed Bandits for Decentralized Spatial Reuse in WLANs
Francesc Wilhelmi, Sergio Barrachina-Muñoz, Cristina Cano +3
Spatial Reuse (SR) has recently gained attention to maximize the performance of IEEE 802.11 Wireless Local Area Networks (WLANs). Decentralized mechanisms are expected to be key in…
Iterate averaging as regularization for stochastic gradient descent
Gergely Neu, Lorenzo Rosasco
We propose and analyze a variant of the classic Polyak-Ruppert averaging scheme, broadly used in stochastic gradient methods. Rather than a uniform average of the iterates, we cons…
Wireless Optimisation via Convex Bandits: Unlicensed LTE/WiFi Coexistence
Cristina Cano, Gergely Neu
Bandit Convex Optimisation (BCO) is a powerful framework for sequential decision-making in non-stationary and partially observable environments. In a BCO problem, a decision-maker…