叶光昊 | Guanghao Ye
Office: 32G-585C
Email: ghye at mit.edu
I am a PhD student at MIT EECS. I am very fortunate to be advised by Jon Kelner. Before that, I obtained my Bachelor’s and Master’s degrees at University of Washington, where I was advised by Yin Tat Lee.
I am broadly interested in theoretical computer science. In particular, I am interested in algorithmic perspective of optimization and its applications.
Papers
Following conventions of math and theoretical computer science, author names are listed alphabetically.
- European Symposium on Algorithms (ESA), 2024 (to appear)
- Symposium on Theory of Computing (STOC), 2024
- Symposium on Discrete Algorithms (SODA), 2024
- [ bib ] A Gradient Sampling Method with Complexity Guarantees for Lipschitz Functions in High and Low DimensionsNeural Information Processing Systems (NeurIPS), 2022 (oral presentation)
- Neural Information Processing Systems (NeurIPS), 2022
- Symposium on Discrete Algorithms (SODA), 2022
- [ bib ] A Nearly-Linear Time Algorithm for Linear Programs with Small Treewidth: A Multiscale Representation of Robust Central PathSymposium on Theory of Computing (STOC), 2021
Invited to SICOMP Special Issue. - Neural Information Processing Systems (NeurIPS), 2020
- Undergraduate Thesis
Best Senior Thesis Award Honorable Mention
Teaching
Teaching Assistant at UW:
CSE421 Introduction to Algorithms: Spring 2018, Autumn 2018, Spring 2019, Winter 2020
CSEP 521 Applied Algorithms: Winter 2019