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cs.LG2023
Stochastic Optimization for Non-convex Problem with Inexact Hessian Matrix, Gradient, and Function
Liu Liu, Xuanqing Liu, Cho-Jui Hsieh +1
Trust-region (TR) and adaptive regularization using cubics (ARC) have proven to have some very appealing theoretical properties for non-convex optimization by concurrently computin…
cs.LG2023
On Exploring Node-feature and Graph-structure Diversities for Node Drop Graph Pooling
Chuang Liu, Yibing Zhan, Baosheng Yu +4
A pooling operation is essential for effective graph-level representation learning, where the node drop pooling has become one mainstream graph pooling technology. However, current…