Jin-Hong Du

Larry A. Wasserman

CoRR, July, 2025

2024

Extrapolated Cross-Validation for Randomized Ensembles.

[BibT_eX]

[DOI]

Arun Kumar Kuchibhotla

J. Comput. Graph. Stat., 2024

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

[BibT_eX]

[DOI]

Larry A. Wasserman

CoRR, 2024

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

[BibT_eX]

[DOI]

Ryan J. Tibshirani

CoRR, 2024

Distance-Preserving Generative Modeling of Spatial Transcriptomics.

[BibT_eX]

[DOI]

Wenbin Zhou

CoRR, 2024

Network-based Neighborhood regression.

[BibT_eX]

[DOI]

Yaoming Zhen

CoRR, 2024

Implicit Regularization Paths of Weighted Neural Representations.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Optimal Ridge Regularization for Out-of-Distribution Prediction.

[BibT_eX]

[DOI]

Ryan J. Tibshirani

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

2023

Bagging in overparameterized learning: Risk characterization and risk monotonization.

[BibT_eX]

[DOI]

Arun Kumar Kuchibhotla

J. Mach. Learn. Res., 2023

Simultaneous inference for generalized linear models with unmeasured confounders.

[BibT_eX]

[DOI]

Larry A. Wasserman

CoRR, 2023

Generalized equivalences between subsampling and ridge regularization.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Arun K. Kuchibhotla

Proceedings of the International Conference on Machine Learning, 2023

2021

Fiber product homotopy method for multiparameter eigenvalue problems.

[BibT_eX]

[DOI]

Jose Israel Rodriguez