| A machine learning framework for stock selection XY Fu, JH Du, YF Guo, MW Liu, T Dong, XW Duan arXiv preprint arXiv:1806.01743, 2018 | 34 | 2018 |
| Increasing the energy efficiency of a data center based on machine learning Z Yang, J Du, Y Lin, Z Du, L Xia, Q Zhao, X Guan Journal of Industrial Ecology 26 (1), 323-335, 2022 | 15 | 2022 |
| Joint Trajectory Inference for Single-cell Genomics Using Deep Learning with a Mixture Prior JH Du, T Chen, M Gao, J Wang bioRxiv, 2020.12. 26.424452, 2020 | 13* | 2020 |
| Fiber product homotopy method for multiparameter eigenvalue problems JI Rodriguez, JH Du, Y You, LH Lim Numerische Mathematik 148, 853-888, 2021 | 12 | 2021 |
| Predictive maintenance of vrla batteries in ups towards reliable data centers JX Tang, JH Du, Y Lin, QS Jia IFAC-PapersOnLine 53 (2), 13607-13612, 2020 | 12 | 2020 |
| Bagging in overparameterized learning: Risk characterization and risk monotonization P Patil, JH Du, AK Kuchibhotla Journal of Machine Learning Research 24 (319), 1--113, 2023 | 10 | 2023 |
| Subsample Ridge Ensembles: Equivalences and Generalized Cross-Validation JH Du, P Patil, AK Kuchibhotla Proceedings of the 40th International Conference on Machine Learning 202 …, 2023 | 9 | 2023 |
| Robust probabilistic modeling for single-cell multimodal mosaic integration and imputation via scVAEIT JH Du, Z Cai, K Roeder Proceedings of the National Academy of Sciences 119 (49), e2214414119, 2022 | 9 | 2022 |
| High-dimensional portfolio selection with cardinality constraints JH Du, Y Guo, X Wang Journal of the American Statistical Association 118 (542), 779-791, 2023 | 6 | 2023 |
| Generalized equivalences between subsampling and ridge regularization P Patil, JH Du Thirty-seventh Conference on Neural Information Processing Systems, 2023 | 5 | 2023 |
| Extrapolated cross-validation for randomized ensembles JH Du, P Patil, K Roeder, AK Kuchibhotla Journal of Computational and Graphical Statistics, 1-12, 2024 | 3 | 2024 |
| Corrected generalized cross-validation for finite ensembles of penalized estimators P Bellec, JH Du, T Koriyama, P Patil, K Tan arXiv preprint arXiv:2310.01374, 2023 | 2 | 2023 |
| Decoupling convolution network for characterizing the metastatic lymph nodes of breast cancer patients R Zeng, X Zhang, C Zheng, JH Du, Z Gao, W Jun, J Shen, Y Lu Medical Physics 48 (7), 3679-3690, 2021 | 2 | 2021 |
| Causal Inference for Genomic Data with Multiple Heterogeneous Outcomes JH Du, Z Zeng, EH Kennedy, L Wasserman, K Roeder arXiv preprint arXiv:2404.09119, 2024 | | 2024 |
| Optimal Ridge Regularization for Out-of-Distribution Prediction P Patil, JH Du, RJ Tibshirani arXiv preprint arXiv:2404.01233, 2024 | | 2024 |
| Augmented Doubly Robust Post-Imputation Inference for Proteomic data H Moon, JH Du, J Lei, K Roeder bioRxiv, 2024.03. 23.586387, 2024 | | 2024 |
| Simultaneous inference for generalized linear models with unmeasured confounders JH Du, L Wasserman, K Roeder arXiv preprint arXiv:2309.07261, 2023 | | 2023 |
Pratik PatilUniversity of California BerkeleyVerified email at berkeley.edu
