8 citations · 9 across the 3 of their papers we have counts for
3 papers
cs.LG2021★ 1 cited
Imitating Deep Learning Dynamics via Locally Elastic Stochastic Differential Equations
Jiayao Zhang, Hua Wang, Weijie J. Su
Understanding the training dynamics of deep learning models is perhaps a necessary step toward demystifying the effectiveness of these models. In particular, how do data from diffe…
cs.LG2021★ 8 cited
On the Convergence and Calibration of Deep Learning with Differential Privacy
Zhiqi Bu, Hua Wang, Zongyu Dai +1
Differentially private (DP) training preserves the data privacy usually at the cost of slower convergence (and thus lower accuracy), as well as more severe mis-calibration than its…
math.ST2020
The Complete Lasso Tradeoff Diagram
Hua Wang, Yachong Yang, Zhiqi Bu +1
A fundamental problem in the high-dimensional regression is to understand the tradeoff between type I and type II errors or, equivalently, false discovery rate (FDR) and power in v…