Learning Landmark-Based Ensembles with Random Fourier Features and Gradient Boosting

14 Jun 2019Léo GautheronPascal GermainAmaury HabrardEmilie MorvantMarc SebbanValentina Zantedeschi

We propose a Gradient Boosting algorithm for learning an ensemble of kernel functions adapted to the task at hand. Unlike state-of-the-art Multiple Kernel Learning techniques that make use of a pre-computed dictionary of kernel functions to select from, at each iteration we fit a kernel by approximating it as a weighted sum of Random Fourier Features (RFF) and by optimizing their barycenter... (read more)

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