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Talk:Differentiable programming

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This is an old revision of this page, as edited by Msltoe (talk | contribs) at 01:20, 19 September 2023 (→What *is* differentiable programming, exactly?: Reply). The present address (URL) is a permanent link to this revision, which may differ significantly from the current revision.
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the abbreviation “∂P”

An anonymous user reverted my change removing the abbreviation “∂P” from this page. To be clear, I don’t think this abbreviation meets Wikipedia’s standards for reliable sources: https://en.m.wikipedia.org/wiki/Wikipedia:Reliable_sources. There is exactly one source that uses this abbreviation, and it’s an unpublished and unreviewed paper that only appears on the arXiv. S. Hoyer (talk) 08:11, 4 November 2019 (UTC)[reply]

I completely agree with you and reverted the reversion :-) To be clear, I think it's reasonable that the “∂P” paper used the abbreviation, yet it does not seem to be a standard and so there's no justification for putting it throughout the article. Sanpitch (talk) 23:48, 5 November 2019 (UTC)[reply]

What *is* differentiable programming, exactly?

I‘m a CS major, but after reading the article, I have NO clue what the lemma is about. I can‘t even begin to imagine what differentiation could mean in a programming language context. This article could use some work... Crazor (talk) 21:35, 13 April 2020 (UTC)[reply]

Dittoes. It's unclear at first glance whether "programming" refers to computer programming, or to linear programming. I suppose when it says "differentiable," it's talking about automatic differentiation, but somebody popped in a link to the calculus concept of "Derivative," just to muddy the water. 173.75.33.51 (talk) 21:31, 8 July 2020 (UTC)[reply]
Yes. I happened on the article serendipitously. And I leave no wiser than when I came. CS background too. Some clue as to both the meaning and the benefits or purpose of differentiation in this context is required. 5.181.56.1 (talk) 13:09, 12 January 2023 (UTC)[reply]
Here's what I think it is or could be - machine learning where backpropagation-like training doesn't just optimize weights/parameter of fixed functions, but also figures out which functions to use (among a specified set) and in whatever sequence. The "which" question can be solved with gating functions. However, "sequence" - I have no idea. Msltoe (talk) 01:20, 19 September 2023 (UTC)[reply]

Static vs dynamic distinction

This distinction seems a bit arbitrary and e.g. Myia doesn't use it, it is just source-to-source vs operator overloading. IMO the distinction should be removed, just discuss the approaches chronologically. Thoughts? Mathnerd314159 (talk) 16:31, 19 July 2022 (UTC)[reply]

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