Comments for Machine Learning (Theory)

The translation was something I checked: they are thinking about MDPs. Point (c) is already covered with some discussion at the bottom of page 2.
I’ll add a bit of discussion about apprenticeship l...

It’s interesting: you translated “Efficient Reinforcement Learning in MDPs” as “EFFICIENT EXPLORATION IN REINFORCEMENT LEARNING”, but surely there are other aspects to the problem. Thoughts on thin...

You are probably right, at least in some contexts. The question is, does ‘linear regression’ mean a particular algorithm or a particular representation. I think of it as (b), but others may think o...

Isn’t linear regression actually a special case of ridge regression, in which the ridge parameter is 0?

Hereby we’d like to invite you at our workshop on “New Challenges in Theoretical Machine Learning: Learning with Data-dependent Concept Spaces”, formerly called “Learning over Empirical Hypothesis ...

[...] I take reviewing seriously. That means papers to be reviewed are read, the implications are considered, and decisions are only made after that. I do my best to be fair, and there are zero sub...

I second (2)! The organization was fantastic and the volunteers were extremely organized and helpful!

[...] while ago, we discussed the health of COLT. COLT 2008 substantially addressed my concerns. The papers were [...]

Here is an interesting ebook ruminating on the economic impact of robots. Well written and the predictions seem mostly sound, but the proposed solutions seem unworkable and contradictory.

We have too few knowledge about how the brain is actually working to make any relevant estimation of the computing power needed to simulate it. We are still largely ignoring how we learn new things...