Hi Rohin!
Thanks for this summary of our post.
I think one other sub-field that has seen a lot of progress is in creating somewhat competitive models that are inherently more interpretable (i.e. a lot of the augmented/approximate decision tree models), as well as some of the decision set stuff.
Otherwise, I think it’s a fair assessment, will also link this comment to Peter so he can chime in with any suggested clarifications of our opinions, if any.
Cheers,
Owen
Sounds good, I’ve added a sixth bullet point. Fyi, I originally took that list of 5 bullet points verbatim from your post, so you might want to update that list in the post as well.
Hi Rohin! Thanks for this summary of our post. I think one other sub-field that has seen a lot of progress is in creating somewhat competitive models that are inherently more interpretable (i.e. a lot of the augmented/approximate decision tree models), as well as some of the decision set stuff. Otherwise, I think it’s a fair assessment, will also link this comment to Peter so he can chime in with any suggested clarifications of our opinions, if any. Cheers, Owen
Sounds good, I’ve added a sixth bullet point. Fyi, I originally took that list of 5 bullet points verbatim from your post, so you might want to update that list in the post as well.