Mitigating multiple descents: A model-agnostic framework for risk monotonization

25 May 2022

Papers citing "Mitigating multiple descents: A model-agnostic framework for risk monotonization"

8 / 8 papers shown

Title
Implicit Regularization Paths of Weighted Neural RepresentationsNeural Information Processing Systems (NeurIPS), 2024 Jin-Hong Du Pratik Patil 172 0 0 28 Aug 2024
Understanding the Role of Optimization in Double Descent Chris Yuhao Liu Jeffrey Flanigan 147 0 0 06 Dec 2023
Central Limit Theorems and Approximation Theory: Part II Arun K. Kuchibhotla 113 0 0 26 Jun 2023
Generalized equivalences between subsampling and ridge regularizationNeural Information Processing Systems (NeurIPS), 2023 Pratik V. Patil Jin-Hong Du 230 5 0 29 May 2023
Subsample Ridge Ensembles: Equivalences and Generalized Cross-ValidationInternational Conference on Machine Learning (ICML), 2023 Jin-Hong Du Pratik V. Patil Arun K. Kuchibhotla 181 11 0 25 Apr 2023
Extrapolated cross-validation for randomized ensemblesJournal of Computational And Graphical Statistics (JCGS), 2023 Jin-Hong Du Pratik V. Patil Kathryn Roeder Arun K. Kuchibhotla 335 7 0 27 Feb 2023
The good, the bad and the ugly sides of data augmentation: An implicit spectral regularization perspectiveJournal of machine learning research (JMLR), 2022 Chi-Heng Lin Chiraag Kaushik Eva L. Dyer Vidya Muthukumar 304 39 0 10 Oct 2022
Multiple Descent in the Multiple Random Feature ModelJournal of machine learning research (JMLR), 2022 Xuran Meng Jianfeng Yao Yuan Cao 188 9 0 21 Aug 2022