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2020 – today
- 2024
[c3]Pratik Patil, Jin-Hong Du, Ryan J. Tibshirani:
Optimal Ridge Regularization for Out-of-Distribution Prediction. ICML 2024- [i7]Pratik Patil, Jin-Hong Du
, Ryan J. Tibshirani:
Optimal Ridge Regularization for Out-of-Distribution Prediction. CoRR abs/2404.01233 (2024) - [i6]Yaoming Zhen, Jin-Hong Du:
Network-based Neighborhood regression. CoRR abs/2407.04104 (2024) - [i5]Wenbin Zhou, Jin-Hong Du:
Distance-Preserving Generative Modeling of Spatial Transcriptomics. CoRR abs/2408.00911 (2024) - [i4]Jin-Hong Du, Pratik Patil:
Implicit Regularization Paths of Weighted Neural Representations. CoRR abs/2408.15784 (2024) - 2023
- [j2]Pratik Patil, Jin-Hong Du, Arun Kumar Kuchibhotla:
Bagging in overparameterized learning: Risk characterization and risk monotonization. J. Mach. Learn. Res. 24: 319:1-319:113 (2023) - [c2]Jin-Hong Du, Pratik Patil, Arun K. Kuchibhotla:
Subsample Ridge Ensembles: Equivalences and Generalized Cross-Validation. ICML 2023: 8585-8631 - [c1]Pratik Patil, Jin-Hong Du:
Generalized equivalences between subsampling and ridge regularization. NeurIPS 2023 - [i3]Jin-Hong Du, Pratik Patil, Arun Kumar Kuchibhotla:
Subsample Ridge Ensembles: Equivalences and Generalized Cross-Validation. CoRR abs/2304.13016 (2023) - [i2]Pratik Patil, Jin-Hong Du:
Generalized equivalences between subsampling and ridge regularization. CoRR abs/2305.18496 (2023) - [i1]Jin-Hong Du, Larry A. Wasserman, Kathryn Roeder:
Simultaneous inference for generalized linear models with unmeasured confounders. CoRR abs/2309.07261 (2023) - 2021
- [j1]Jose Israel Rodriguez, Jin-Hong Du, Yiling You, Lek-Heng Lim:
Fiber product homotopy method for multiparameter eigenvalue problems. Numerische Mathematik 148(4): 853-888 (2021)
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