6 papers
Data Auctions for Retrieval Augmented Generation
Minbiao Han, Seyed A. Esmaeili, Michael Albert +1
We study the problem of data selling for Retrieval Augmented Generation (RAG) tasks in Generative AI applications. We model each buyer's valuation of a dataset with a natural cover…
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…
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…
Is Learning Effective in Dynamic Strategic Interactions? Evidence from Stackelberg Games
Michael Albert, Quinlan Dawkins, Minbiao Han +1
In many settings of interest, a policy is set by one party, the leader, in order to influence the action of another party, the follower, where the follower's response is determined…
No-Regret Learning of Nash Equilibrium for Black-Box Games via Gaussian Processes
Minbiao Han, Fengxue Zhang, Yuxin Chen
This paper investigates the challenge of learning in black-box games, where the underlying utility function is unknown to any of the agents. While there is an extensive body of lit…
Escape Sensing Games: Detection-vs-Evasion in Security Applications
Niclas Boehmer, Minbiao Han, Haifeng Xu +1
Traditional game-theoretic research for security applications primarily focuses on the allocation of external protection resources to defend targets. This work puts forward the stu…