วีดีโอ

Please, delete these videos. They are useless. No Quality for great lectures.

th-cam.com/video/ZsH2zc71t78/w-d-xo.html

This is so good ! Wonderful lecture!

Video is too focused on just the speaker. I need to see what he is pointing at

how to get ppt

Da bes

42:30 x_i is dependent on z_j. But x_i is conditionally independent from z_j if beta is known.

Such a nice explanation. And how good the slides were!

The main things I get from here: • conditioning: 1:08:15 • (didn't find it anywhere else) the idea about underfitting/overfitting with GP regression: 1:22:05 - 1:24:45

can someone help me get the slides?

Best math video I've seen in a while.

@MLSS Africa. Are the slides availble for this? Video quality is bad

Can we take a moment to appreciate Blei's dry sense of humor

Bruh makes me sad hindi is low resource language maybe we need some billionaire to help create resources

Why keep a horrible video for such a great presentation ?

Spectacular presentation!

Grandmaster Latex skills

The video quality for this is quite a bit worse than for the first 2 parts!

this is Blei, not Blie

shades being thrown 34:50

Fantastic

Wow, this is an extremely good explanation in so many ways. I love the GAN explanation! Thank you!!

42:10 When Shakir goes beast mode...

Hi @MLSS Africa, Are these slides available anywhere?

Great talk!

best explanation on OT! thanks a lot

At 1:07:06, I thought the BDD is encoding the disjunctions on the left, instead he shows the BDD encodes the formulas on the right ?

Such a valuable talk. It would be great if you could share the slides.

Where are the slides? The ones on the website don't include Neil's talks?

Damn it, this should have a second part as well :(

What happened to this video, why there are blanks?

Are the slides posted somewhere?

Slides are available here: inverseprobability.com/talks/slides/2019-01-09-gaussian-processes.slides.html and more details are also on Neil's website: inverseprobability.com/talks/notes/gaussian-processes.html

Slides anywhere?

Thanks for uploading the video. A great and interesting talk.

Only one like? Shame cause to me it was illuminating ;)

Part 1, please?

26:50 Good question about "extending causal structures/modelling to more than just directed graphs". I'm surprised that the panelists didn't mention probabilistic programming. Here is a motivation for why you need to move beyond the formalism of graphs/PGMs: pinouchon.github.io/ai/2016/05/20/thick-arrows.html

oh wow what a great panel

The slide on the log normalizer is missing the base density h(x).

1 dislike from frequentist sect

Why slides are not available for this talk?

where can I learn more about Probabilistic programming?

We need some problems in the OT book. Can't get enough of this stuff!

Some comments Bayesian foundations I made here: livelogic.blogspot.com/2019/05/julia-galef-on-aumanns-agreement-theorem.html

Some comments I made on philosophers programming 😂 and on resonance etc here: livelogic.blogspot.com/2019/05/john-skilling-on-probability-and.html?m=0

Some comments I made on exploration algorithms here: livelogic.blogspot.com/2019/05/john-skilling-on-big-spaces.html

They need to fire the intern controlling the slides

13:45 He uses the wrong notation. Bit cross in mathematics means *cross product*

Hello MLSS, where is part 1 of this talk, the panel discussion?