1 citations · 1 across the 5 of their papers we have counts for
5 papers
Improved Multi-Dimensional Forecasting for Swap Regret
Joey Rivkin, Ramiro N. Deo-Campo Vuong, Robert Kleinberg +3
We study the problem of forecasting for an arbitrary number of downstream agents with unknown objectives, each of whom best responds to the forecaster's predictions. We seek a sing…
Water-Filling is Universally Minimax Optimal
Siddhartha Banerjee, Ramiro N. Deo-Campo Vuong, Robert Kleinberg
Allocation of dynamically-arriving (i.e., online) divisible resources among a set of offline agents is a fundamental problem, with applications to online marketplaces, scheduling,…
The Keychain Problem: On Minimizing the Opportunity Cost of Uncertainty
Ramiro N. Deo-Campo Vuong, Robert Kleinberg, Aditya Prasad +2
In this paper, we introduce a family of sequential decision-making problems, collectively termed the Keychain Problem, that involve exploring a set of actions to maximize expected…
No-Regret Learning for Fair Multi-Agent Social Welfare Optimization
Mengxiao Zhang, Ramiro Deo-Campo Vuong, Haipeng Luo
We consider the problem of online multi-agent Nash social welfare (NSW) maximization. While previous works of Hossain et al. [2021], Jones et al. [2023] study similar problems in s…
On Supermodular Contracts and Dense Subgraphs
Ramiro Deo-Campo Vuong, Shaddin Dughmi, Neel Patel +1
We study the combinatorial contract design problem, introduced and studied by Dutting et. al. (2021, 2022), in both the single and multi-agent settings. Prior work has examined the…