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stat.ML2026
Beyond Cross-Validation: Adaptive Parameter Selection for Kernel-Based Gradient Descents
Xiaotong Liu, Yunwen Lei, Xiangyu Chang +1
This paper proposes a novel parameter selection strategy for kernel-based gradient descent (KGD) algorithms, integrating bias-variance analysis with the splitting method. We introd…
cs.LG2026
Towards Accurate and Interpretable Time-series Forecasting: A Polynomial Learning Approach
Bo Liu, Shao-Bo Lin, Changmiao Wang +1
Time series forecasting enables early warning and has driven asset performance management from traditional planned maintenance to predictive maintenance. However, the lack of inter…
cs.LG2026
Two-Stage Data Synthesization: A Statistics-Driven Restricted Trade-off between Privacy and Prediction
Xiaotong Liu, Shao-Bo Lin, Jun Fan +1
Synthetic data have gained increasing attention across various domains, with a growing emphasis on their performance in downstream prediction tasks. However, most existing synthesi…