Learning the coordinate gradients

By Yiming Ying, Qiang Wu, Colin Campbell. 2011

13 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computational Mechanics, Computer Vision and Pattern Recognition

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. Bharath K. Sriperumbudur
2. Zoltán Szabó
3. Arthur Gretton
4. Bernhard Schölkopf
5. Kenji Fukumizu
6. Dino Sejdinovic
7. Krikamol Muandet
8. Barnab'as P'oczos

In Computational Mechanics

1. Zoltán Szabó
2. Bharath K. Sriperumbudur

In Computer Vision and Pattern Recognition

1. Zoltán Szabó
2. Bharath K. Sriperumbudur

Citations in the corpus

• Optimal Rates for Random Fourier Features (2015, background): “As motivated in Section 1, the question of approximating the derivatives of the kernel through finite dimensioal random feature map is also important as it enables to speed up several interesting machine learning tasks that involve the derivatives of the kernel (e.g., [32, 21, 17, 18, 29, 23]).”