no code implementations • 15 Dec 2023 • 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 in historical interactions.
no code implementations • 28 Nov 2023 • Minbiao Han, Kumar Kshitij Patel, Han Shao, Lingxiao Wang
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.
no code implementations • 27 Oct 2023 • Minbiao Han, Jonathan Light, Steven Xia, Sainyam Galhotra, Raul Castro Fernandez, Haifeng Xu
We envision that the synergy of our data and model discovery algorithm and pricing mechanism will be an important step towards building a new data-centric online market that serves ML users effectively.