My talks at Cambridge this Wed and Thurs in the department of Machine Learning.
Powerpoints are here and here. Also some videos are here (but no videos of the “Nothing is Linear, Nothing is Additive” talk).
My talks at Cambridge this Wed and Thurs in the department of Machine Learning.
Powerpoints are here and here. Also some videos are here (but no videos of the “Nothing is Linear, Nothing is Additive” talk).
I'm interested in the "Creating structured and flexible models: some open problems" talk, but I'm nowhere near Cambridge. Do you have any slides/papers/chapters on this?
> "Nothing is Linear, Nothing is Additive"
Not strictly true. Our _models_ are linear and additive — and its a good thing too; I get my output in the time it takes to get a cup of coffee. ;-)
Yeah really! Get them to record this!
To be really pedantic, there is no Dept of Machine Learning, but a Dept of Engineering.
Ken: I posted some links above.
Manuel: Indeed. The title is a bit of hyperbole, reflecting that I needed to be "mugged by reality" several times before moving away from linear and additive models.
Any hope to see the video on "nothing is linear'? I am currently starting a new research project on non-linear bayes rules (even if it sounds as an oxymoron)
"If you don’t walk out of this talk as a Bayesian, I’ll eat my hat."
So the obvious question is, did you eat your hat?
Jsalvatier, Daniel: Nope, they didn't record it.
Max: I think everyone walked out of that talk a Bayesian. If not, maybe they're Bayesian and just don't realize it yet.