Yikai Wu

Ph.D. student @ Department of Computer Science, Princeton University

Yikai_Wu.jpg

35 Olden St

Computer Science 242

Princeton, NJ 08540

United States

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

selected publications

  1. COLT
    Private Matrix Approximation and Geometry of Unitary Orbits
    Oren Mangoubi, Yikai Wu, Satyen Kale, Abhradeep Thakurta, and Nisheeth K Vishnoi
    Conference on Learning Theory (COLT) 2022
    arXiv HTML
  2. Preprint
    Dissecting Hessian: Understanding Common Structure of Hessian in Neural Networks
    Yikai Wu, Xingyu Zhu, Chenwei Wu, Annie Wang, and Rong Ge
    2021
    arXiv
  3. VLDB
    Budget Sharing for Multi-Analyst Differential Privacy
    David Pujol, Yikai Wu, Brandon Fain, and Ashwin Machanavajjhala
    International Conference on Very Large Data Bases (VLDB) 2021
    arXiv HTML