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stat.CO2026
Efficient Data Reduction Via PCA-Guided Quantile Based Sampling
Foo Hui-Mean, Yuan-chin Ivan Chang
In large-scale statistical modeling, reducing data size through subsampling is essential for balancing computational efficiency and statistical accuracy. We propose a new method, P…
stat.CO2026
Integrating Multi-Armed Bandit, Active Learning, and Distributed Computing for Scalable Optimization
Foo Hui-Mean, Yuan-chin Ivan Chang
Modern optimization problems in scientific and engineering domains often rely on expensive black-box evaluations, such as those arising in physical simulations or deep learning pip…