Mengmeng Li

Stable feature selection based on brain storm optimisation for high‐dimensional data

2021 · Electronics Letters

Abstract Feature selection is a widely used data pre‐processing method. However, the research on feature selection stability is very rare. Although there are some related studies that mainly focus on filters rather than wrappers, especially …

A Hierarchical Filter Transfer Learning Algorithm for Heterogeneous Domains

2023

A main goal of heterogeneous transfer learning algorithms is to solve the domain adaptation problem of different feature spaces. However, some existing heterogeneous transfer learning methods usually only extract common features from the source domain …

A Large Deviations Perspective on Policy Gradient Algorithms

2023 · arXiv (Cornell University)

Motivated by policy gradient methods in the context of reinforcement learning, we identify a large deviation rate function for the iterates generated by stochastic gradient descent for possibly non-convex objectives satisfying a Polyak-Łojasiewicz condition. Leveraging …