6 citations · 15 across the 17 of their papers we have counts for
4 papers · 1 filter
Learning vs. Optimizing Players in Budgeted Games
Giannis Fikioris, Balasubramanian Sivan, Éva Tardos
We study repeated general games over rounds between a utility-maximizing optimizer and a learning agent, where budget constraints couple the players' decisions across rounds. W…
Resource Allocation and Conversion along the Org Chart
Yuan Deng, Giannis Fikioris, Chido Onyeze +3
We consider the allocation of multiple heterogeneous resources to agents who are organized according to an organizational hierarchy. In a company those correspond to business units…
Learning vs. Optimizing Bidders in Budgeted Auctions
Giannis Fikioris, Balasubramanian Sivan, Éva Tardos
The study of repeated interactions between a learner and a utility-maximizing optimizer has yielded deep insights into the manipulability of learning algorithms. However, existing…
Robust Temporal Guarantees in Budgeted Sequential Auctions
Giannis Fikioris, Robert Kleinberg, Yoav Kolumbus +2
In modern advertising platforms, learning algorithms are deployed by budget-constrained bidders to maximize their accumulated value. These algorithms often offer classical utility…