Showing stat.MLShow all
2 papers · 1 filter
stat.ML2024
Modified Meta-Thompson Sampling for Linear Bandits and Its Bayes Regret Analysis
Hao Li, Dong Liang, Zheng Xie
Meta-learning is characterized by its ability to learn how to learn, enabling the adaptation of learning strategies across different tasks. Recent research introduced the Meta-Thom…
stat.ML2024
Group & Reweight: A Novel Cost-Sensitive Approach to Mitigating Class Imbalance in Network Traffic Classification
Wumei Du, Dong Liang, Yiqin Lv +4
Internet services have led to the eruption of network traffic, and machine learning on these Internet data has become an indispensable tool, especially when the application is risk…