3 papers
cs.CV2025
Hyperbolic Dual Feature Augmentation for Open-Environment
Peilin Yu, Yuwei Wu, Zhi Gao +3
Feature augmentation generates novel samples in the feature space, providing an effective way to enhance the generalization ability of learning algorithms with hyperbolic geometry.…
cs.IR2025
Automating Personalization: Prompt Optimization for Recommendation Reranking
Chen Wang, Mingdai Yang, Zhiwei Liu +4
Modern recommender systems increasingly leverage large language models (LLMs) for reranking to improve personalization. However, existing approaches face two key limitations: (1) h…
stat.ML2024
Robust bilinear factor analysis based on the matrix-variate distribution
Xuan Ma, Jianhua Zhao, Changchun Shang +2
Factor Analysis based on multivariate distribution (fa) is a useful robust tool for extracting common factors on heavy-tailed or contaminated data. However, fa is only ap…