125 citations · 182 across the 14 of their papers we have counts for
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cs.LG2022
Differentially Private Estimation of Hawkes Process
Simiao Zuo, Tianyi Liu, Tuo Zhao +1
Point process models are of great importance in real world applications. In certain critical applications, estimation of point process models involves large amounts of sensitive pe…
cs.LG2022
Noise Regularizes Over-parameterized Rank One Matrix Recovery, Provably
Tianyi Liu, Yan Li, Enlu Zhou +1
We investigate the role of noise in optimization algorithms for learning over-parameterized models. Specifically, we consider the recovery of a rank one matrix $Y^*\in R^{d\times d…
math.OC2022★ 3 cited
Bayesian Stochastic Gradient Descent for Stochastic Optimization with Streaming Input Data
Tianyi Liu, Yifan Lin, Enlu Zhou
We consider stochastic optimization under distributional uncertainty, where the unknown distributional parameter is estimated from streaming data that arrive sequentially over time…