RESEARCH PROJECTS
Design of algorithms for games and learning
This proposal lies at the intersection of learning theory, game theory, and mechanism design and plans to investigate the connections and expand the mathematical foundations of these fields.
Principled Methods for Classification with Noisy Data
Learning with noisy data is an important research challenge in both theory and practice.
Higher-Order Deep Learning: Learning to analyze & generate multi-way data of arbitrary underlying Geometry
Machine learning has become a crucial part of scientific fields and industries that produce a massive amount of data and that are in dire need of scalable tools to make sense of it automatically.
