We consider the problem of fairly allocating sequentially arriving items to a set of individuals.
For this problem, the recently-introduced PACE algorithm leverages the dual averaging …

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 …

Robust Markov decision processes (MDPs) are used for applications of dynamic
optimization in uncertain environments and have been studied extensively. Many of the …

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 …

Computing market equilibria is a problem of both theoretical and applied interest. Much
research to date focuses on the case of static Fisher markets with full information on buyers' …

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 …

New energy vehicles (NEV) have become a major trajectory changer for the global auto
industry and an important catalyst for global sustainable economic growth. The …

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 …