Kernel Ridge Regression

By Vladimir G Vovk. 2013

332 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Management Science and Operations Research

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Chuang Gan
2. Neil Zhenqiang Gong
3. Binghui Wang
4. Tengyuan Liang
5. Dit-Yan Yeung
6. Yi Yang
7. Alexander G. Hauptmann
8. Alexander Rakhlin

In Management Science and Operations Research

1. Chuang Gan
2. Neil Zhenqiang Gong
3. Alexander Rakhlin
4. Dit-Yan Yeung
5. Binghui Wang
6. Naiyan Wang
7. Yi Yang
8. Alexander G. Hauptmann

Citations in the corpus

• Stealing Hyperparameters in Machine Learning (2018, methodology): “2) Kernel Regression Algorithms: We use kernel ridge regression (KRR) [55] as an example to illustrate our attacks.”
• Just Interpolate: Kernel "Ridgeless" Regression Can Generalize (2018, background): “In the learning theory community, Kernel Ridge Regression is known as a special case of Support Vector Regression (Vapnik, 1998; Shawe-Taylor and Cristianini, 2004; Vovk, 2013).”
• DevNet: A Deep Event Network for multimedia event detection and evidence recounting (2015, methodology): “Support vector machines (SVMs) [2] and kernel ridge regression (KR) [36] with χ(2) kernel are used.”