We study the fairness of dynamic resource allocation problem under the α-fairness criterion.
We recognize two different fairness objectives that naturally arise in this problem: the well …

Linear Fisher market (LFM) is an equilibrium model for fair and efficient resource allocation,
and first-price pacing equilibrium (FPPE) is a model for budget-management in first-price …

We initiate the study of statistical inference and A/B testing for first-price pacing equilibria
(FPPE). The FPPE model captures the dynamics resulting from large-scale first-price auction …

This work addresses learning online fair division under uncertainty, where a central planner
sequentially allocates items without precise knowledge of agents' values or utilities …

Statistical inference under market equilibrium effects has attracted increasing attention
recently. In this paper we focus on the specific case of linear Fisher markets. They have …

We investigate the online fair allocation problem with sequentially arriving items under
various input models, with the goal of balancing fairness and efficiency. We propose the …

We study a general class of sequential search problems for selecting multiple candidates
from different societal groups under" ex-ante constraints" aimed at producing socially …

O-RAN systems and their deployment in virtualized general-purpose computing platforms (O-
Cloud) constitute a paradigm shift expected to bring unprecedented performance gains …

We study an online allocation problem with sequentially arriving items and adversarially
chosen agent values, with the goal of balancing fairness and efficiency. Our goal is to study …

The maximization of Nash welfare, which equals the geometric mean of agents' utilities, is
widely studied because it balances efficiency and fairness in resource allocation problems …