66 citations · 66 across the 3 of their papers we have counts for
3 papers
eess.SP2025
On Sampling of Multiple Correlated Stochastic Signals
Lin Jin, Hang Sheng, Hui Feng +1
Multiple stochastic signals possess inherent statistical correlations, yet conventional sampling methods that process each channel independently result in data redundancy. To lever…
math.OC2025
Nonconvex Nonsmooth Multicomposite Optimization and Its Applications to Recurrent Neural Networks
Lingzi Jin, Xiao Wang, Xiaojun Chen
We consider a class of nonconvex nonsmooth multicomposite optimization problems where the objective function consists of a Tikhonov regularizer and a composition of multiple noncon…
stat.ML2014★ 66 cited
Bayesian Multi-Scale Optimistic Optimization
Ziyu Wang, Babak Shakibi, Lin Jin +1
Bayesian optimization is a powerful global optimization technique for expensive black-box functions. One of its shortcomings is that it requires auxiliary optimization of an acquis…