|I am a second year PhD student in Operations Research at Cornell University, where I am working with Jim Renegar and Damek Davis. However, I spent Fall 2017 at UC Berkeley as part of a Simons Institute program on continuous and discrete optimization. Prior to coming to Cornell, I completed a BS and MS of Computer Science at the Illinois Institute of Technology, where I worked on a variety of different projects with Professors Ioan Raicu, Gruia Calinescu and Sanjiv Kapoor.
In general, I am interested in the design and analysis of algorithms. My current research focuses on algorithms for continuous optimization problems where very little structure is assumed. In particular, I have recently been focused on the convergence analysis of subgradient methods for problems outside the scope of the traditional theory. I was awarded an NSF Fellowship in 2017 supporting this research.
Office: 295 Rhodes Hall
Email: bdg79 at cornell.edu
|Convergence Rates for Deterministic and Stochastic Subgradient Methods Without Lipschitz Continuity||arXiv|
|Proximally Guided Stochastic Subgradient Method for Nonsmooth, Nonconvex Problems||arXiv, Julia|
|Damek Davis, Benjamin Grimmer.|
|Radial Subgradient Method||SIAM Journal on Optimization, 2018|
|Benjamin Grimmer.||arXiv, Julia|