2 papers
cs.LG2026
Auto-FP: An Experimental Study of Automated Feature Preprocessing for Tabular Data
Danrui Qi, Jinglin Peng, Yongjun He +1
Classical machine learning models, such as linear models and tree-based models, are widely used in industry. These models are sensitive to data distribution, thus feature preproces…
cs.DB2025
BQSched: A Non-intrusive Scheduler for Batch Concurrent Queries via Reinforcement Learning
Chenhao Xu, Chunyu Chen, Jinglin Peng +2
Most large enterprises build predefined data pipelines and execute them periodically to process operational data using SQL queries for various tasks. A key issue in minimizing the…