Yikai Wu

Publication Activity (10 Years)

Years Active: 2019-2022
Publications (10 Years): 6

Top Topics

Differential Privacy

Bregman Divergences

Privacy Preserving Data Mining Algorithms

Matrix Approximation

Top Venues

Proc. VLDB Endow.

Publications

Oren Mangoubi, Yikai Wu, Satyen Kale, Abhradeep Thakurta, Nisheeth K. Vishnoi
Private Matrix Approximation and Geometry of Unitary Orbits. COLT (2022)
Oren Mangoubi, Yikai Wu, Satyen Kale, Abhradeep Guha Thakurta, Nisheeth K. Vishnoi
Private Matrix Approximation and Geometry of Unitary Orbits. CoRR (2022)
David Pujol, Yikai Wu, Brandon Fain, Ashwin Machanavajjhala
Budget Sharing for Multi-Analyst Differential Privacy. Proc. VLDB Endow. 14 (10) (2021)
David Pujol, Yikai Wu, Brandon Fain, Ashwin Machanavajjhala
Budget Sharing for Multi-Analyst Differential Privacy. CoRR (2020)
Yikai Wu, Xingyu Zhu, Chenwei Wu, Annie Wang, Rong Ge
Dissecting Hessian: Understanding Common Structure of Hessian in Neural Networks. CoRR (2020)
Yikai Wu, David Pujol, Ios Kotsogiannis, Ashwin Machanavajjhala
Answering Summation Queries for Numerical Attributes under Differential Privacy. CoRR (2019)