Di Wang

activity

20182024

most citedEmpirical Risk Minimization in the Non-interactive Local Model of Differential Privacy

4 citations · 10 across the 10 of their papers we have counts for

collaborators

Showing 2022Show all

3 papers · 1 filter

cs.LG2022

On Stability and Generalization of Bilevel Optimization Problem

Meng Ding, Mingxi Lei, Yunwen Lei +2

(Stochastic) bilevel optimization is a frequently encountered problem in machine learning with a wide range of applications such as meta-learning, hyper-parameter optimization, and…

cs.LG2022

On PAC Learning Halfspaces in Non-interactive Local Privacy Model with Public Unlabeled Data

Jinyan Su, Jinhui Xu, Di Wang

In this paper, we study the problem of PAC learning halfspaces in the non-interactive local differential privacy model (NLDP). To breach the barrier of exponential sample complexit…

cs.LG2022

Differentially Private $ℓ_{1}$ -norm Linear Regression with Heavy-tailed Data

Di Wang, Jinhui Xu

We study the problem of Differentially Private Stochastic Convex Optimization (DP-SCO) with heavy-tailed data. Specifically, we focus on the $ℓ_{1}$ -norm linear regression in the…

On Stability and Generalization of Bilevel Optimization Problem

On PAC Learning Halfspaces in Non-interactive Local Privacy Model with Public Unlabeled Data

Differentially Private ℓ1​-norm Linear Regression with Heavy-tailed Data

Differentially Private $ℓ_{1}$ -norm Linear Regression with Heavy-tailed Data