Jin-Hong Du

According to our database, Jin-Hong Du authored at least 11 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Assumption-Lean Post-Integrated Inference with Negative Control Outcomes.

Jin-Hong Du, Kathryn Roeder, Larry A. Wasserman

CoRR, 2024

Revisiting Optimism and Model Complexity in the Wake of Overparameterized Machine Learning.

Pratik Patil, Jin-Hong Du, Ryan J. Tibshirani

CoRR, 2024

Implicit Regularization Paths of Weighted Neural Representations.

Jin-Hong Du, Pratik Patil

CoRR, 2024

Distance-Preserving Generative Modeling of Spatial Transcriptomics.

Wenbin Zhou, Jin-Hong Du

CoRR, 2024

Network-based Neighborhood regression.

Yaoming Zhen, Jin-Hong Du

CoRR, 2024

Optimal Ridge Regularization for Out-of-Distribution Prediction.

Pratik Patil, Jin-Hong Du, Ryan J. Tibshirani

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Bagging in overparameterized learning: Risk characterization and risk monotonization.

Pratik Patil, Jin-Hong Du, Arun Kumar Kuchibhotla

J. Mach. Learn. Res., 2023

Simultaneous inference for generalized linear models with unmeasured confounders.

Jin-Hong Du, Larry A. Wasserman, Kathryn Roeder

CoRR, 2023

Generalized equivalences between subsampling and ridge regularization.

Pratik Patil, Jin-Hong Du

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Subsample Ridge Ensembles: Equivalences and Generalized Cross-Validation.

Jin-Hong Du, Pratik Patil, Arun K. Kuchibhotla

Proceedings of the International Conference on Machine Learning, 2023

2021

Fiber product homotopy method for multiparameter eigenvalue problems.

Jose Israel Rodriguez, Jin-Hong Du, Yiling You, Lek-Heng Lim

Numerische Mathematik, 2021