Search Results for author: Haoyi Yang

Found 2 papers, 0 papers with code

Theoretical Guarantees for Sparse Principal Component Analysis based on the Elastic Net

no code implementations29 Dec 2022 Teng Zhang, Haoyi Yang, Lingzhou Xue

Sparse principal component analysis (SPCA) is widely used for dimensionality reduction and feature extraction in high-dimensional data analysis.

Dimensionality Reduction

Metrics Matter: A Closer Look on Self-Paced Reinforcement Learning

no code implementations29 Sep 2021 Pascal Klink, Haoyi Yang, Jan Peters, Joni Pajarinen

Experiments demonstrate that the resulting introduction of metric structure into the curriculum allows for a well-behaving non-parametric version of SPRL that leads to stable learning performance across tasks.

reinforcement-learning Reinforcement Learning (RL)

Cannot find the paper you are looking for? You can Submit a new open access paper.