35 Olden St
Computer Science 242
Princeton, NJ 08540
My name is Yikai Wu (吴溢恺 in Chinese). I am an first-year Ph.D. student in Computer Science at Princeton University. I am in the Theoretical Machine Learning group.
My research interests lie on machine learning, optimization, and data privacy. I am also broadly interested in theoretical computer science and quantum information science.
I have received my Bachelor of Science (BS) degree in Computer Science and Mathematics from Duke University. At Duke, I have worked with Prof. Rong Ge on deep learning theory, Prof. Ashwin Machanavajjhala on differential privacy, and Prof. Iman Marvian on quantum computation.
I have also worked with Prof. Nisheeth Vishnoi at Yale University on optimization with privacy guarantees.
Research interests: machine learning, optimization, data privacy
- COLTPrivate Matrix Approximation and Geometry of Unitary OrbitsConference on Learning Theory (COLT) 2022
- PreprintDissecting Hessian: Understanding Common Structure of Hessian in Neural Networks2021
- VLDBBudget Sharing for Multi-Analyst Differential PrivacyInternational Conference on Very Large Data Bases (VLDB) 2021