3 papers
cs.LG2023
Benign Oscillation of Stochastic Gradient Descent with Large Learning Rates
Miao Lu, Beining Wu, Xiaodong Yang +1
In this work, we theoretically investigate the generalization properties of neural networks (NN) trained by stochastic gradient descent (SGD) algorithm with large learning rates. U…
math.CO2022
Maxima of the -index of non-bipartite -free graphs
Ruifang Liu, Lu Miao, Jie Xue
A classic result in extremal graph theory, known as Mantel's theorem, states that every non-bipartite graph of order with size contains a tri…
cs.LG2021
Learning Robust Policy against Disturbance in Transition Dynamics via State-Conservative Policy Optimization
Yufei Kuang, Miao Lu, Jie Wang +3
Deep reinforcement learning algorithms can perform poorly in real-world tasks due to the discrepancy between source and target environments. This discrepancy is commonly viewed as…