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Showing results 6 to 13 of 13

6
Dimension-wise sparse low-rank approximation of a matrix with application to variable selection in high-dimensional integrative analyses of association

Poythress, JC; Park, Cheolwoo; Ahn, Jeongyoun, JOURNAL OF APPLIED STATISTICS, v.49, no.15, pp.3889 - 3907, 2022-12

7
Gene selection using support vector machines with non-convex penalty

Zhang, HH; Ahn, Jeongyoun; Lin, X; Park, Cheolwoo, BIOINFORMATICS, v.22, no.1, pp.88 - 95, 2006-01

8
Kernel Methods for Radial Transformed Compositional Data with Many Zeros

Park, Junyoung; Yoon, Changwon; Park, Cheolwoo; Ahn, Jeongyoun, The 39th International Conference on Machine Learning, ICML 2022, pp.17458 - 17472, International Conference on Machine Learning, 2022-07-21

9
Kernel Sufficient Dimension Reduction and Variable Selection for Compositional Data via Amalgamation

Park, Jun Young; Ahn, Jeongyoun; Park, Cheolwoo, 40th International Conference on Machine Learning, ICML 2023, pp.27034 - 27047, ML Research Press, 2023-07-27

10
Kernel Sufficient Dimension Reduction and Variable Selection for Compositional Data via Amalgamation

Park, Jun Young; Ahn, Jeongyoun; Park, Cheolwoo, 40th International Conference on Machine Learning, ICML 2023, pp.27034 - 27047, ML Research Press, 2023-07-27

11
Low-rank, Orthogonally Decomposable Tensor Regression With Application to Visual Stimulus Decoding of fMRI Data

Poythress, JC; Ahn, Jeongyoun; Park, Cheolwoo, JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS, v.31, no.1, pp.190 - 203, 2022-03

12
Minimax Risks and Optimal Procedures for Estimation under Functional Local Differential Privacy

Lee, Bonwoo; Ahn, Jeongyoun; Park, Cheolwoo, 37th Conference on Neural Information Processing Systems, NeurIPS 2023, Neural information processing systems foundation, 2023-12-13

13
Support vector machines with adaptive L-q penalty

Liu, Yufeng; Zhang, Hao Helen; Park, Cheolwoo; Ahn, Jeongyoun, COMPUTATIONAL STATISTICS & DATA ANALYSIS, v.51, no.12, pp.6380 - 6394, 2007-08

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