My research interests and recent projects include:
- Provable optimization methods for machine learning
- Gradient estimation for Markov chains
- Change detection and its applications
I am very interested in first order gradient methods, particularly in the context of non-linear and machine learning optimization problems. I am also interested in the role of geometry in numerical computing, including optimization on manifolds and contraction methods. Anything with a sufficiently mathematical flavor, at the intersection of optimization, machine learning, probability, etc.. If any of these topics also interest you then feel free to get in touch!
Click here to view my CV.
Office: 2-200, Bldg. 725 (Computational Science Initiative)
- manseg is a program for manual labeling of 3D point cloud data. Think MS paint for point clouds. bitbucket page