4 papers
Sufficiency-principled Transfer Learning via Model Averaging
Xiyuan Zhang, Huihang Liu, Xinyu Zhang
When the transferable set is unknowable, transfering informative knowledge as much as possible\textemdash a principle we refer to as \emph{sufficiency}, becomes crucial for enhanci…
A Transfer Learning Framework for Multilayer Networks via Model Averaging
Yongqin Qiu, Xinyu Zhang
Link prediction in multilayer networks is a key challenge in applications such as recommendation systems and protein-protein interaction prediction. While many techniques have been…
Entire-Space Variational Information Exploitation for Post-Click Conversion Rate Prediction
Ke Fei, Xinyue Zhang, Jingjing Li
In recommender systems, post-click conversion rate (CVR) estimation is an essential task to model user preferences for items and estimate the value of recommendations. Sample selec…
Denoising Long- and Short-term Interests for Sequential Recommendation
Xinyu Zhang, Beibei Li, Beihong Jin
User interests can be viewed over different time scales, mainly including stable long-term preferences and changing short-term intentions, and their combination facilitates the com…