2 papers
cs.LG2021
Fine-grained Generalization Analysis of Vector-valued Learning
Liang Wu, Antoine Ledent, Yunwen Lei +1
Many fundamental machine learning tasks can be formulated as a problem of learning with vector-valued functions, where we learn multiple scalar-valued functions together. Although…
cs.SI2018
Multi-Level Network Embedding with Boosted Low-Rank Matrix Approximation
Jundong Li, Liang Wu, Huan Liu
As opposed to manual feature engineering which is tedious and difficult to scale, network representation learning has attracted a surge of research interests as it automates the pr…