Michael I. Jordan

A study on Riemannian gradient descent and its application in complex game scenarios.

Examining how incentives shape statistical practices in scientific studies.

Examining how agents and principals share information on performance metrics.

A detailed look at effectively measuring diverse outcomes in social initiatives.

A new framework tackles fairness conflicts in machine learning effectively.

Addressing the challenges of data quality in group learning environments.