andreasvc

6 ms·

1.
by andreasvc 6y ago
Why would we never know? Quoting from the blog post: "The specific reasons given were that [...]" followed by a bullet list. Your guess is unwarranted speculation.
2.
by andreasvc 6y ago
Ah, I see. That really doesn't deserve to be called an idiom, it's a clever hack. But it's nice to know about it. It seems less ugly than the walrus operator to me, and it doesn't leak the variable outside of the compreh
3.
by andreasvc 6y ago
I'm puzzled by this example: sums = [s for s in [0] for x in data for s in [s + x]] Why would you do "for s in" twice? Is that intentional? It would make more sense to me if the variables would have been different. A
4.
by andreasvc 6y ago
What are the advantages of Re over Re2?
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by andreasvc 7y ago
bollu, multiple people have shown that your claim that the paper doesn't match the code is flat out wrong. I think at this point you should issue a retraction of your wildly inappropriate suggestion of academic dishonesty.
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by andreasvc 8y ago
It is an extremely thin font which makes it unsuitable for screen reading.
7.
by andreasvc 8y ago
Why do you think English would be least compressible? Is that based on conjecture or have you investigated this? Why would artificial language be more compressible? That seems completely orthogonal to me (by definition, an artificial langua
8.
by andreasvc 8y ago
Yes, in the context of text classification a bag of words model will refer to that, or combined with some other linear model like linear SVM or naive bayes. The queen - woman example is when you try to make a model of word semantics, such a
9.
by andreasvc 8y ago
You mention a single counterexample, but is it "definitely not true"? I think there is a strong publication bias: papers will report when they improve on the baseline, but that's likely not representative for the common case
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by andreasvc 8y ago
You're right that it is a representation, but also an instance of the vector space model of language. Coupled with a linear model for prediction it is a strong baseline for text classification problems. See e.g. http://sciki
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by andreasvc 8y ago
The article states he's perfectionist. He probably wouldn't be OK with that.
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by andreasvc 8y ago
Yup, that's a downside. The advantage is that it's much simpler and will also work when you're not on your home network.
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by andreasvc 8y ago
The simplest approach is to use a hosts file: https://someonewhocares.org/hosts/
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by andreasvc 8y ago
Regarding that idea for a universal integer set, roaring bitmaps implement that.
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by andreasvc 9y ago
Would love to read more about this. I've read that early programming was thought of like a glorified telephone operator, but that these women had advanced mathematics degrees. I can't find anything non-biased though, everyone just
16.
by andreasvc 9y ago
To clarify, what I meant is that with TCP, I can set up a two-way communication channel, even if I'm behind a NAT/firewall I don't control. As far as I understand, with UDP this is harder (i.e., does not work with all NAT typ
17.
by andreasvc 9y ago
No. UDP is connectionless, which makes it harder to use with NAT.
18.
by andreasvc 9y ago
> machines like Parsey McParseFace can now accurately parse human universal grammar. unambiguous parsing was a big feature of lojban, so it's lost a major selling point. Slow down there ... Most linguists (or a substantial minority)
19.
by andreasvc 9y ago
For a better, actual example of this problem, see the leopard sofa: http://rocknrollnerd.github.io/ml/2015/05/27/leopard-sofa.ht...
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by andreasvc 9y ago
Why would one ever prefer a linked list over a dynamic array? I know about the asymptotic performance, but if you take actual memory performance into account (locality, cache, pointers are slow, etc), it seems dynamic arrays should be simpl
21.
by andreasvc 9y ago
My own, https://github.com/andreasvc/vim-256noir
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by andreasvc 9y ago
A fact is a statement corresponding with reality, a stereotype is a belief/generalization deemed harmful/undesirable.
23.
by andreasvc 9y ago
Again, from humans and from reality is not different. Whether it is desirable to avoid stereotypes depends on your values.
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by andreasvc 9y ago
I think you are making a distinction without a difference. If the word vectors pick up biases from wikipedia text, than for all practical purposes, they are (indirectly) absorbing stereotypes from humans. This is an expected result, but not
25.
by andreasvc 9y ago
Again, per the article "bias refers generally to prior information, a necessary prerequisite for intelligent action (4)." This includes a citation to a well-known ML text. This seems broader than the statistical definition you cit
26.
by andreasvc 9y ago
It appears that the linked paper has examples.
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by andreasvc 9y ago
I think your questions would be answered by reading the article. Particularly: "In AI and machine learning, bias refers generally to prior information, a necessary prerequisite for intelligent action (4). Yet bias can be problematic wh
28.
by andreasvc 9y ago
Cute title but the post didn't really address either reasonableness or effectiveness, but mostly claimed that the potential has not yet been realized. It's a pet peeve of mine to see these hackneyed joke titles referencing famous
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by andreasvc 9y ago
Mathematics has this funny habit of throwing around "it is easy to say that ...", or in this case, calling a proof that eluded mathematicians for decades "simple."
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by andreasvc 10y ago
He's hugely influential in the field; arguably dominant in a way that is unhealthy for a field. Acolytes will say he's influential because of merit, detractors will say it is because of rhetorical skill, sophistry. I hope there wi

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