1 citations · 5 across the 10 of their papers we have counts for
4 papers · 1 filter
Learning in Online Principal-Agent Interactions: The Power of Menus
Minbiao Han, Michael Albert, Haifeng Xu
We study a ubiquitous learning challenge in online principal-agent problems during which the principal learns the agent's private information from the agent's revealed preferences…
On the Effect of Defections in Federated Learning and How to Prevent Them
Minbiao Han, Kumar Kshitij Patel, Han Shao +1
Federated learning is a machine learning protocol that enables a large population of agents to collaborate over multiple rounds to produce a single consensus model. There are sever…
Optimal Pricing for Data-Augmented AutoML Marketplaces
Minbiao Han, Jonathan Light, Steven Xia +3
Organizations often lack sufficient data to effectively train machine learning (ML) models, while others possess valuable data that remains underutilized. Data markets promise to u…
Robust Stackelberg Equilibria
Jiarui Gan, Minbiao Han, Jibang Wu +1
This paper provides a systematic study of the robust Stackelberg equilibrium (RSE), which naturally generalizes the widely adopted solution concept of the strong Stackelberg equili…