Sufficient Dimension Reduction for High-Dimensional Regression and Low-Dimensional Embedding: Tutorial and Survey

18 October 2021

Papers citing "Sufficient Dimension Reduction for High-Dimensional Regression and Low-Dimensional Embedding: Tutorial and Survey"

5 / 5 papers shown

Title
KKT Conditions, First-Order and Second-Order Optimization, and Distributed Optimization: Tutorial and Survey Benyamin Ghojogh A. Ghodsi Fakhri Karray Mark Crowley 38 28 0 05 Oct 2021
Fusing Sufficient Dimension Reduction with Neural Networks Daniel Kapla L. Fertl E. Bura 36 9 0 20 Apr 2021
Conditional Variance Estimator for Sufficient Dimension Reduction L. Fertl E. Bura 22 7 0 17 Feb 2021
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 365 11,700 0 09 Mar 2017
Dimension reduction for nonelliptically distributed predictors Bing Li Yuexiao Dong 51 114 0 24 Apr 2009