Yanning Shen

Random Feature-based Online Multi-kernel Learning in Environments with Unknown Dynamics

2017 · arXiv (Cornell University)

Kernel-based methods exhibit well-documented performance in various nonlinear learning tasks. Most of them rely on a preselected kernel, whose prudent choice presumes task-specific prior information. Especially when the latter is not available, multi-kernel learning has …

Filtering as Rewiring for Bias Mitigation on Graphs

2024

Machine learning over graphs (MLoG) has attracted growing attention due to its effectiveness in processing relational data from complex systems such as social networks, financial markets, and the brain. However, MLoG algorithms that use the …

Online Graph-Adaptive Learning With Scalability and Privacy

2019 · IEEE Transactions on Signal Processing

Graphs are widely adopted for modeling complex systems, including financial, biological, and social networks. Nodes in networks usually entail attributes, such as the age or gender of users in a social network. However, real-world networks …