1 citations · 1 across the 2 of their papers we have counts for
2 papers
math.OC2025
Model-Driven Subspaces for Large-Scale Optimization with Local Approximation Strategy
Yitong He, Pengcheng Xie
Solving large-scale optimization problems is a bottleneck and is very important for machine learning and multiple kinds of scientific problems. Subspace-based methods using the loc…
math.OC2024★ 1 cited
On the Relationship between -poisedness in Derivative-Free Optimization and Outliers in Local Outlier Factor
Qi Zhang, Pengcheng Xie
Derivative-free optimization (DFO) is a method that does not require the calculation of gradients or higher-order derivatives of the objective function, making it suitable for case…