Probabilistic Artificial Intelligence
1–10 of 100 posts
Re: Probabilistic Artificial Intelligence
#2This is great. Is it available as a printed book?
Re: Probabilistic Artificial Intelligence
#3This is great. Is it available as a printed book?
From a brief search I see that it isn't (or it least not yet), but seeing how well-formatted the pdf is, and the fact that it's CC-licensed, you could print it yourself, or perhaps talk with them to organize a batch.
Though I personally prefer to read these sorts of books directly from pdf, and am grateful to them for sharing it on arxiv.
Re: Probabilistic Artificial Intelligence
#4I came across this a few days ago, and my excuse to give it a a serious look is that Andreas Krause has some deep and interesting research in Gaussian Processes and Bandits [1].
[1] https://scholar.google.com/scholar?start=10&q=andreas+krause...
Re: Probabilistic Artificial Intelligence
#5This is great. Is it available as a printed book?
From a brief search I see that it isn't (or it least not yet), but seeing how well-formatted the pdf is, and the fact that it's CC-licensed, you could print it yourself, or perhaps talk with them to organize a batch. Though I personally prefer to read these sorts of books directly from pdf, and am grateful to them for sharing it on arxiv.
I wonder if one could organize an arXiv print service that binds and prints and ships with a unique cover and such.
Also it should use LLMs and the blockchain.
But this would be nice there are a number of papers and such that if you could submit an arXiv link to a print service I would probably buy a copy. I wonder why no one does it.
Re: Probabilistic Artificial Intelligence
#6This is great. Is it available as a printed book?
I do not think so. I am asking the author for confirmation.
Re: Probabilistic Artificial Intelligence
#7Interesting separation and distinction between noisy inputs, noisy processing and noisy chains.
Re: Probabilistic Artificial Intelligence
#8Gemini 2.0 Experimental 02-05 sees this as "only" 107K tokens.
Handy if you want help breaking this down.
'Laplace Approximation is a "quick and dirty" way to turn a complex probability distribution into a simple Gaussian (bell curve).
It works by finding the highest point (mode) and matching the curvature at that point.
It's fast and easy, but it can be very inaccurate and overconfident if the true distribution doesn't look like a bell curve.'
Re: Probabilistic Artificial Intelligence
#9This is great. Is it available as a printed book?
I do not think so. I am asking the author for confirmation.
There's no printed version. Btw I took this course at ETHZ last year (a course with this title and whose script is this document. Pretty nice course and pretty nice course notes, happy to see that the authors decided to share it outside of the course website now!
Re: Probabilistic Artificial Intelligence
#10As a layman in this field, I have no idea the contact it significance of this work. Can someone better informed inform us?