publications

preprints and publications in reversed chronological order.

preprints

  1. Preprint
    Dissecting Hessian: Understanding Common Structure of Hessian in Neural Networks
    Yikai Wu, Xingyu Zhu, Chenwei Wu, Annie Wang, and Rong Ge
    2021
    arXiv

2022

  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

2021

  1. 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

2019

  1. TPDP
    Answering Summation Queries for Numerical Attributes under Differential Privacy
    Yikai Wu, David Pujol, Ios Kotsogiannis, and Ashwin Machanavajjhala
    Theory and Practice of Differential Privacy Workshop (TPDP) 2019
    arXiv