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stat.ME2021
Efficient Experimental Design for Regularized Linear Models
C. Devon Lin, Peter Chien, Xinwei Deng
Regularized linear models, such as Lasso, have attracted great attention in statistical learning and data science. However, there is sporadic work on constructing efficient data co…
cs.DC2021
Sequential Design of Computer Experiments with Quantitative and Qualitative Factors in Applications to HPC Performance Optimization
Xia Cai, Li Xu, C. Devon Lin +2
Computer experiments with both qualitative and quantitative factors are widely used in many applications. Motivated by the emerging need of optimal configuration in the high-perfor…