www.themegallery.com Kernel design by meta-features argon C wwxd)y≥1,i=1,,m C1/2x argmin w:(wrx)y≥1,i=1…,m The invariance is incorporated by the assumption of smoothness of weights in the meta-feature space Gaussian process: x>y, smoothness of y in the feature space This work: u>w, smoothness of weight w in the meta-feature spaceCompany name www.themegallery.com Kernel design by meta-features ◼ The invariance is incorporated by the assumption of smoothness of weights in the meta-feature space. ◼ Gaussian process: x→y, smoothness of y in the feature space. This work: u→w, smoothness of weight w in the meta-feature space