3 citations · 5 across the 3 of their papers we have counts for
3 papers
cs.LG2022★ 3 cited
On the Utility Recovery Incapability of Neural Net-based Differential Private Tabular Training Data Synthesizer under Privacy Deregulation
Yucong Liu, Chi-Hua Wang, Guang Cheng
Devising procedures for auditing generative model privacy-utility tradeoff is an important yet unresolved problem in practice. Existing works concentrates on investigating the priv…
cs.LG2022★ 1 cited
LU decomposition and Toeplitz decomposition of a neural network
Yucong Liu, Simiao Jiao, Lek-Heng Lim
It is well-known that any matrix has an LU decomposition. Less well-known is the fact that it has a 'Toeplitz decomposition' where 's are Toeplitz…
stat.ME2022★ 1 cited
Path-following methods for Maximum a Posteriori estimators in Bayesian hierarchical models: How estimates depend on hyperparameters
Zilai Si, Yucong Liu, Alexander Strang
Maximum a posteriori (MAP) estimation, like all Bayesian methods, depends on prior assumptions. These assumptions are often chosen to promote specific features in the recovered est…