This is a recorded series of lectures and homework assignments discussions on the topic of statistical learning theory, co-organized by Gergely Szucs (@Yegreg) and @Alex Flint. The homework assignments are available here, and lecture notes are available here.
The lectures are intended for those who want to do research on the learning-theoretic agenda and need to catch-up on the necessary background knowledge. As complementary resources, consider looking into my MATS lectures, the LTA reading list and the (not quite finished) sequence on infra-Bayesianism by @Brittany Gelb.
If you feel ready to start with actual research, consider applying to my track in the PIBBSS fellowship.
Privacy note: According to what I know, everyone who appear in the recording consented to the recording becoming available online. However, if there was some mistake, s.t. you are in the recording but don’t want to be there, DM me and I will take it down ASAP.
H/t to my beloved spouse @Marcus Ogren for placing the lectures on YouTube.
Hey Vanessa, thanks for getting these up on youtube!
For anyone wondering whether there will be another round of this course, we have no plans to do so at present, but would be grateful to hear of your interest if you would participate.