no code implementations • 24 May 2024 • Lan Tao, SHIRONG XU, Chi-Hua Wang, Namjoon Suh, Guang Cheng
In particular, this paper establishes theoretical results regarding the convergence rate of the estimation error of TV distance between two Gaussian distributions.
no code implementations • 26 Feb 2024 • SHIRONG XU, Will Wei Sun, Guang Cheng
Motivated from this, we propose a debiased randomized response mechanism to protect the raw pairwise rankings, ensuring consistent estimation of true preferences and rankings in downstream rank aggregation.
no code implementations • 17 May 2023 • SHIRONG XU, Will Wei Sun, Guang Cheng
The former is defined as the generalization difference between models trained on synthetic and on real data.
no code implementations • 2 Jan 2023 • SHIRONG XU, Will Wei Sun, Guang Cheng
This allows us to develop a multistage ranking algorithm to generate synthetic rankings while satisfying the developed $\epsilon$-ranking differential privacy.
no code implementations • 29 Sep 2021 • SHIRONG XU, Junhui Wang
Recommender system is capable of predicting preferred items for a user by integrating information from similar users or items.