1 citations · 1 across the 5 of their papers we have counts for
8 papers
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…
Quota Marketplace: Dynamic Pricing for Efficient Allocation of ML Training Resources
Balasubramanian Sivan, Renato Paes Leme, Mihai Tiuca +6
The escalating demand for Machine Learning (ML) training resources in recent years has resulted in a substantial gap between the high demand and the available supply. Efficient all…
Distributed Load Balancing with Workload-Dependent Service Rates
Wenxin Zhang, Santiago R. Balseiro, Robert Kleinberg +3
Modern service systems, including cloud platforms and large language model inference endpoints, must distribute jobs across servers whose processing speeds depend on current worklo…
Learning vs. Optimizing Bidders in Budgeted Auctions
Giannis Fikioris, Balasubramanian Sivan, Ãva 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…
Revenue Variance Minimization: Beyond First Price Auctions
Marek Bojko, Preston McAfee, Renato Paes Leme +2
We study revenue variance in the sale of homogeneous items to risk-neutral, unit-demand bidders with independent private values. Although the Revenue Equivalence Theorem implie…
Strategizing against No-regret Learners
Yuan Deng, Jon Schneider, Balusubramanian Sivan
How should a player who repeatedly plays a game against a no-regret learner strategize to maximize his utility? We study this question and show that under some mild assumptions, th…