30 Followers
198 Following
91 Posts
Causality and Machine Learning

Every five to ten years, I make the effort to switch my #TeXLaTeX editor to a more modern one. This process has now iterated several times back from when I was a graduate student in the mid-1990s using vi from a UNIX shell to write in plain TeX. On the suggestion of a reader here, I installed #VSCode + #TeXLive + #LaTeXworkshop + #GithubCopilot as an upgrade from my current setup of #TeXnicCenter + #MiKTeX
which I had been using for almost a decade, and am recording my first impressions here (which will most likely be quite naive for existing VSCode users).

The installation had no problems (other than the four hours needed to download TeX live on a slow internet connection). I began experimenting with various features. So far I have mostly played with the user-defined code snippets feature, which can allow me for instance to create an entire corollary environment by typing in a trigger word (I chose "cor") and pressing tab (see enclosed screenshots). Strangely enough I had a version of this functionality 20 years ago during a brief period when I experimented with using Microsoft Word as a LaTeX editor purely for the ability to use Visual Basic macros (though I abandoned this shortly after due to the lack of other LaTeX-friendly features). I could certainly see myself using this feature frequently as a time-saver.

So far the AI-powered Copilot suggestions have been mainly useful for filling out the snippet functionality: after giving a few examples of the snippets I wanted, it was able to suggest more that I could accept, again with the single click of the tab key.

(Incidentally, the screenshots are displaying a paper which I will be putting on the arXiv shortly. Stay tuned...)

For accessibility reasons, arXiv is starting to publish HTML versions of papers. https://info.arxiv.org/about/accessibility_html_papers.html 🧵

#math #papers #openscience #academia #arXiv
@brembs
@lambo

I think this is interesting and welcome, especially on mobile devices. It is not without problems to want to quickly check some fact on your phone, download the PDF, go to landscape mode, find the right location in the paper, zoom in, etc.
1/4

HTML papers for beta testing - arXiv info

"All boxes are overfull. Some are useful"

(George E. Parbox)

I will be moving to the mathstodon server. You can follow me @Scriddie

See you over there! :))

Links to the papers:

Clustering and Structural Robustness in Causal Diagrams https://jmlr.org/papers/v24/21-1322.html

Contrasting Identifying Assumptions of Average Causal Effects: Robustness and Semiparametric Efficiency
https://jmlr.org/papers/v24/21-1392.html

Clustering and Structural Robustness in Causal Diagrams

This is the last day of my Twitter account. I have over 52K followers there, but I can't remain on a platform that pays people like Andrew Tate to post. I do this knowing it significant limits my reach in the academic community, but the standard you walk past is the one you accept.
Chronotrains - Mappa Ferroviaria Interattiva in Europa

Visualizza dove puoi viaggiare in treno in Europa su questa mappa interattiva.

Chronotrains - Mappa Ferroviaria Interattiva in Europa
#Kyiv is now broadcasting from an underground shelter due to Mig-31 bombers taking off in Russia.

No, academics do not "forget" to answer emails. They remember and feel bad about them, the guilt slowly building up, until the only way out is to fake their own death and move far, far away under a different identity to build a new life, a better one, with inbox zero and no shame

Anyways, I owe you an email.

Ar5iv: Articles from arXiv.org as responsive HTML5 web pages
L: https://ar5iv.labs.arxiv.org/
C: https://news.ycombinator.com/item?id=36947004
posted on 2023.07.31 at 14:40:33 (c=0, p=4)
ar5iv – Articles from arXiv.org as responsive HTML5 web documents

ar5iv offers a modern web view for arXiv's preprints. An open community resource, on a quest to a full collection of high-quality documents.

ar5iv