The team behind Yggdrasil tree library at Google was doing some interesting research into tree differentiability (and thus unlocking SGD & end-to-end learning for hybrid architectures).
This is interesting. Are BART models differentiable? I haven’t looked closely at them but I would have thought for posterior sampling they’d have to be. BART has been around for a while, too