Thesis Information
Title: Foundamental Machine Learning Problems In Differential Privacy Model
Adviser: Jinhui Xu
Institution: State University of New York at Buffalo
Graduation Date: June 2020
Contact Information
Email Candidate
Candidate Website
Candidate Bio:
I am a fifth (final) year PHD student in the Department of Computer Science and Engineering at The State University of New York (SUNY) at Buffalo under supervision of Dr. Jinhui Xu . Before that I got my Master degree in Mathematics at University of Western Ontario in 2015, and I got my Bachelor degree in Mathematics and Applied Mathematics at Shandong University in 2014.
Paper 1:
Facility Location Problem in Differential Privacy Model Revisited. Yunus Esencayi, Marco Gaboardi, Shi Li and Di Wang Conference on Neural Information Processing Systems (NIPS/NeurIPS), 2019
Link to PDFPaper 2:
Differentially Private Empirical Risk Minimization with Non-convex Loss FunctionsDi Wang, Changyou Chen and Jinhui Xu. 36th International Conference on Machine Learning (ICML 2019).
Link to PDFPaper 3:
On Sparse Linear Regression in the Local Differential Privacy ModelDi Wang and Jinhui Xu. 36th International Conference on Machine Learning (ICML 2019).
Link to PDFKeywords: Differential Privacy, Learning Theory