Stanley Kok

Interpretable Intrinsic Cues for Efficient Reinforcement Learning with Large Language Models

Unsupervised Multiple Kernel Learning for Graphs via Ordinality Preservation

Practical and Rigorous Extremal Bounds for Gaussian Process Regression via Chaining