Research in this area focuses on developing efficient and scalable algorithms for solving large scale optimization problems in engineering, data science and machine learning. Our work also studies optimal decision making in networked settings, including communication networks, energy systems and social networks. The multi-agent nature of many of these systems also has led to several research activities that rely on game-theoretic approaches.
Latest news in optimization and game theory
Neural network controllers provide complex robots with stability guarantees, paving the way for the safer deployment of autonomous vehicles and industrial machines.
Ranking at the top for the 13th year in a row, the Institute also places first in 11 subject areas.
Adam Belay, Manya Ghobadi, Stefanie Mueller, and Julian Shun are all being promoted to associate professor with tenure.
The Institute also ranks second in five subject areas.
Tamara Broderick uses statistical approaches to understand and quantify the uncertainty that can affect study results.