Variance Reduction in Stochastic Methods for Large-Scale Regularized Least-Squares Problems
Author:
Affiliation:
1. Univ. Grenoble Alpes, Grenoble INP,GIPSA-lab,Grenoble,France
2. Univ. Grenoble Alpes, CNRS Grenoble INP,GIPSA-lab,Grenoble,France
Funder
French National Research Agency
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9908519/9909515/09909520.pdf?arnumber=9909520
Reference13 articles.
1. Two Applications of Random Spanning Forests
2. Variance Reduction
3. Generalized Optimization Framework for Graph-based Semi-supervised Learning
4. Diversity Sampling is an Implicit Regularization for Kernel Methods
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