Hermite learning with gradient data

By Lei Shi, Xin Guo, Ding-Xuan Zhou. 2010

15 citations recorded by the source corpus.

How researchers see this paper

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

1. Zoltán Szabó
2. Bharath K. Sriperumbudur
3. Krikamol Muandet
4. Arthur Gretton
5. Kenji Fukumizu
6. Bernhard Schölkopf
7. David Lopez-Paz
8. Dino Sejdinovic

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]).”