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cs.LG2025
A Saddle Point Remedy: Power of Variable Elimination in Non-convex Optimization
Min Gan, Guang-Yong Chen, Yang Yi +1
The proliferation of saddle points, rather than poor local minima, is increasingly understood to be a primary obstacle in large-scale non-convex optimization for machine learning.…
cs.LG2023
Online Learning Under A Separable Stochastic Approximation Framework
Min Gan, Xiang-xiang Su, Guang-yong Chen +1
We propose an online learning algorithm for a class of machine learning models under a separable stochastic approximation framework. The essence of our idea lies in the observation…
cs.LG2023★ 1 cited
Properties and Potential Applications of Random Functional-Linked Types of Neural Networks
Guang-Yong Chen, Yong-Hang Yu, Min Gan +2
Random functional-linked types of neural networks (RFLNNs), e.g., the extreme learning machine (ELM) and broad learning system (BLS), which avoid suffering from a time-consuming tr…