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cs.LG2026
An Ensembled Latent Factor Model via Differential Evolution and Gradient Descent Optimization
Rui Zhang, Jinhang Liu, Wenbo Zhang
High-dimensional and incomplete (HDI) data are prevalent in many real-world big data scenarios. Latent factor models serve as a common representation learning approach, capable of…
cs.LG2025
Investigating Mask-aware Prototype Learning for Tabular Anomaly Detection
Ruiying Lu, Jinhan Liu, Chuan Du +1
Tabular anomaly detection, which aims at identifying deviant samples, has been crucial in a variety of real-world applications, such as medical disease identification, financial fr…
cs.LG2024
Scrutinize What We Ignore: Reining In Task Representation Shift Of Context-Based Offline Meta Reinforcement Learning
Hai Zhang, Boyuan Zheng, Tianying Ji +4
Offline meta reinforcement learning (OMRL) has emerged as a promising approach for interaction avoidance and strong generalization performance by leveraging pre-collected data and…