Viewing profile — nickhuh

There's a lot of interest in various ML communities on more efficient training and inference. Both vision and NLP have had a growing focus on these problems in recent years. I thin…

It's a good point and the study does some investigation of the question in Section 7 [1]. They find the trend seems to generalize across multiple speaker identities. Personal exper…

I think this example misleads one's intuition for the following reason: in the proposed scenario, you'd only see the coin come up heads 10 times in a row about 1 in 1024 times you …

I don't have any experience programming without visual aids; and you've probably already thought of this aspect though I'll mention it just in-case: if I were facing a similar situ…

I think this article omits the most important distinction between Bayesian and Frequentist statistics: subjective vs. frequentist interpretations of probability. In my own opinion,…

Oh yeah there are a few Bayesian methods which work great, Bayes-UCB is another. Personally though I think KL-UCB or just plain old UCB would be the ones I'd choose. Like I said ea…

Actually, in the frequentist paradigm you could choose to run a sequential hypothesis test which will end when you've acquired sufficient data[1]. Or, if you want to get fancy you …

In that case you'd want to use "git add -p" which allows you to pick only parts of a file to stage for a commit. It can be crucial in crafting a really solid project / commit histo…

In my experience, making "gl commit" equivalent to "git commit -a" seems like a bad idea. When leading a team, especially of newer coders, one of the most effective ways I've found…

I could be wrong, but I think the article that the Torvalds quote came from was purely satirical [1]. If you look at the tags it says it was posted under satire. Got me at first to…

If you're interested in clustering text documents, the canonical algorithm would be latent Dirichlet allocation, which is a topic modeling algorithm. You can find latent Dirichlet …

For people interested in the use of neural nets to evaluate board position, it might be worthwhile reading up on TD-gammon which this work builds Off of

I think part of the problem is that our notion of productivity is tied up with producing, perhaps in some absolute and immediate sense. If we expand the idea to encouraging less wo…

Because a lot of people really like it. One of the really cool things about lisp syntax is that it exposes the programs abstract syntax tree, making manipulating the program itself…

It's also important to remember that an author dying does not prevent him or her from capturing the value. If the copyright survives them, they can sell the rights to someone for a…

So I'm not an expert in the mathematics they're using specifically, but my high level understanding is that convolutional neural nets are able to extract features because they sati…

I agree, but I'd expand on that and say that BPL and Probabilistic programming in general benefits hugely from the fact that it is interpretable and thus useful in ways that deep l…

The three body problem though is famous for having no solution in terms of basic functions. I think for your planets model you must have been making different assumptions than in t…

Very cool application, confused about why it needs so many permissions when logging in with github though.

Interesting article. It seems to me like what you really want here is to do this in a lisp/scheme. Then you can use the full power of lisp (it's the exact same syntax as the behavi…

Interesting point. Still, I think even some really coarse feedback would be helpful. For example, just a three tiered system where a 1 means you get an interview, a 2 means your st…

It's very understandable that YC can't give individualized feedback for people who are rejected, that would be an incredibly expensive job; however, I'm sure that YC has an interna…

I think what Microsoft is trying to say, and what the article is doing a poor job of communicating, is that the company believes that there are some autistic people who have much t…