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Chenglong Ye
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Cited by
Cited by
Year
Sparsity Oriented Importance Learning for High-dimensional Linear Regression
C Ye, Y Yang, Y Yang
Journal of the American Statistical Association 113 (524), 1-16, 2018
352018
Combining Predictions of Auto Insurance Claims
C Ye, L Zhang, M Han, Y Yu, B Zhao, Y Yang
Econometrics 10 (2), 2022
92022
High-dimensional Adaptive Minimax Sparse Estimation with Interactions
C Ye, Y Yang
IEEE Transactions on Information Theory 65 (9), 5367-5379, 2019
42019
Local Kernel Ridge Regression for Scalable, Interpolating, Continuous Regression
M Han, C Ye, J Phillips
Transactions on Machine Learning Research, 2022
22022
Model Selection and Estimation for High-dimensional Data Analysis
C Ye
22019
Machine learning applications in household-level demand prediction
S Zhao, Y Lai, C Ye, K Lee
Applied Economics Letters 31 (1), 5-11, 2024
12024
Meta Clustering for Collaborative Learning
C Ye, J Ding, R Ghanadan
Journal of Computational and Graphical Statistics, 2022
12022
High-dimensional Variable Screening via Conditional Martingale Difference Divergence
L Fang, Q Yuan, X Yin, C Ye
arXiv preprint arXiv:2206.11944, 2022
12022
Deep Clustering Evaluation: How to Validate Internal Clustering Validation Measures
Z Wang, C Ye
arXiv preprint arXiv:2403.14830, 2024
2024
Integration of multiview microbiome data for deciphering microbiome-metabolome-disease pathways
L Fang, Y Wang, C Ye
arXiv preprint arXiv:2402.08222, 2024
2024
The ART of Transfer Learning: An Adaptive and Robust Pipeline
B Wang, Y Wu, C Ye
arXiv preprint arXiv:2305.00520, 2023
2023
Locally Adaptive and Differentiable Regression
M Han, V Shankar, JM Phillips, C Ye
Journal of Machine Learning for Modeling and Computing 4 (4), 2023
2023
Package ‘glmvsd’
Y Nan, Y Yang, Y Yang, C Ye, MY Yang
2015
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Articles 1–13