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Tutorial: The Art of Gaussian Processes: Classical and Contemporary

Current Trends on Kernel Design

César Lincoln Mattos


We highlight some recent advances to kernel design that enhance the use of GP models in complex data settings. From automatic composition of simple kernels to deep kernel learning and (graph) convolutional kernels, the works revised in this section indicate how fast-paced the research on kernel design is.