Scholar
Yikai Wu
Google Scholar ID: O-V-kjoAAAAJ
PhD student in Computer Science, Princeton University
Citations & Impact
Citations
48
H-index
3
i10-index
2
Publications
7
Co-authors
7
list available
Publications
Resume (English only)
Academic Achievements
- Published papers: 'Private Matrix Approximation and Geometry of Unitary Orbits' (COLT 2022); 'Budget Sharing for Multi-Analyst Differential Privacy' (VLDB 2021).
Research Experience
- Working with Prof. Sanjeev Arora on analyzing implicit bias in optimization algorithms; worked with Prof. Rong Ge on Hessian in optimization algorithms; worked with Prof. Ashwin Machanavajjhala on differentially private algorithms; worked with Prof. Nisheeth Vishnoi on optimization on manifolds.
Education
- Received Bachelor of Science (BS) degree in Computer Science and Mathematics from Duke University. At Duke, worked with Prof. Rong Ge on Hessian in optimization algorithms and with Prof. Ashwin Machanavajjhala on differentially private algorithms. Also worked with Prof. Nisheeth Vishnoi at Yale University on optimization on manifolds.
Background
- First-year Ph.D. student in Computer Science at Princeton University. Current research interests are optimization theory and algorithms. Working with Prof. Sanjeev Arora on analyzing implicit bias in optimization algorithms. Also broadly interested in theoretical computer science.
Miscellany
- Email is the best way to reach him.
