Jinshan Zeng

Model selection of polynomial kernel regression

2015 · arXiv (Cornell University)

Polynomial kernel regression is one of the standard and state-of-the-art learning strategies. However, as is well known, the choices of the degree of polynomial kernel and the regularization parameter are still open in the realm …

Fast Stochastic Ordinal Embedding With Variance Reduction and Adaptive Step Size

2019 · IEEE Transactions on Knowledge and Data Engineering

Learning representation from relative similarity comparisons, often called ordinal embedding, gains rising attention in recent years. Most of the existing methods are based on semi-definite programming (SDP), which is generally time-consuming and degrades the scalability, …