Talk
in
Tutorial: The Art of Gaussian Processes: Classical and Contemporary
Current Trends on Kernel Design
César Lincoln Mattos
Abstract:
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.