Jinshuo Dong 董金硕
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About me:
I am currently a post-doc at IDEAL (i.e. Northwestern University and TTI Chicago).
Previously, I got my PhD
in applied math (AMCS)
from the University of Pennsylvania, under the supervision of Aaron Roth.
Prior to Penn, I obtained my bachelor's degree
in mathematics from Peking University in 2014.
[CV] [blog]
Contact:
Email: first name@northwestern.edu
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Research
Current focus of my work is differential privacy and its role in statistics and machine learning.
I'm also generally interested in expanding my knowledge
in the mathematics of information and computation.
Papers
Sharp Composition Bounds for Gaussian Differential Privacy via Edgeworth Expansion
Qinqing Zheng, Jinshuo Dong, Qi Long, and Weijie Su.
In the proceedings of ICML 2020.
[arXiv]
[proceeding]
Equilibrium Characterization for Data Acquisition Games.
Jinshuo Dong, Hadi Elzayn, Shahin Jabbari, Michael Kearns and Zachary Schutzman.
In the proceedings of IJCAI 2019.
[arXiv]
[proceeding]
Strategic Classification from Revealed Preferences
Jinshuo Dong, Aaron Roth, Zachary Schutzman, Bo Waggoner and Steven Wu.
In the proceedings of EC 2018.
[arXiv]
[proceeding]
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