Ridge Regularizaton: an Essential Concept in Data Science

30 May 2020

Papers citing "Ridge Regularizaton: an Essential Concept in Data Science"

8 / 8 papers shown

Title
Diffusion Attribution Score: Evaluating Training Data Influence in Diffusion Models Jinxu Lin Linwei Tao Minjing Dong Chang Xu TDI 65 3 0 24 Oct 2024
LiteNeXt: A Novel Lightweight ConvMixer-based Model with Self-embedding Representation Parallel for Medical Image Segmentation Ngoc-Du Tran Thi-Thao Tran Quang-Huy Nguyen Manh-Hung Vu Van-Truong Pham MedIm ViT 182 1 0 04 Apr 2024
Surprises in High-Dimensional Ridgeless Least Squares Interpolation Trevor Hastie Andrea Montanari Saharon Rosset Robert Tibshirani 174 743 0 19 Mar 2019
Reconciling modern machine learning practice and the bias-variance trade-off M. Belkin Daniel J. Hsu Siyuan Ma Soumik Mandal 219 1,638 0 28 Dec 2018
Understanding deep learning requires rethinking generalization Chiyuan Zhang Samy Bengio Moritz Hardt Benjamin Recht Oriol Vinyals HAI 326 4,624 0 10 Nov 2016
Generalized Additive Model Selection Alexandra Chouldechova Trevor Hastie 54 82 0 11 Jun 2015
Matrix Completion and Low-Rank SVD via Fast Alternating Least Squares Trevor Hastie Rahul Mazumder Jason D. Lee R. Zadeh 143 525 0 09 Oct 2014
Dropout Training as Adaptive Regularization Stefan Wager Sida I. Wang Percy Liang 126 599 0 04 Jul 2013