[docs] add quantized training paper to docs #5923
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jameslamb
requested review from
guolinke,
StrikerRUS and
shiyu1994
as code owners
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Thank you! |
README.md
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| @@ -145,6 +145,8 @@ This project has adopted the [Microsoft Open Source Code of Conduct](https://ope | |||
| Reference Papers | |||
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| Yu Shi, Guolin Ke, Zhuoming Chen, Shuxin Zheng, Tie-Yan Liu. "Quantized Training of Gradient Boosting Decision Trees" ([link](https://papers.nips.cc/paper_files/paper/2022/file/77911ed9e6e864ca1a3d165b2c3cb258-Paper-Conference.pdf)). Advances in Neural Information Processing Systems 35 (NeurIPS 2022), pp. 18822-18833. | |||
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I saw once that linking directly to the PDF was kind of rude, maybe it should point to: https://papers.nips.cc/paper_files/paper/2022/hash/77911ed9e6e864ca1a3d165b2c3cb258-Abstract.html instead? I see the two below do exactly that
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Totally fine with me.
Updated in 6e59758.
For my own knowledge... what's rude about it? Just that clicking it could trigger a download instead of opening a tab in your browser?
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I think I saw it in a tweet from Andrej Karpathy but it was something like that. Some phones automatically download the file, also you may just want to read the abstract before actually going to the paper.
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iiiinteresting. Ok yeah makes sense to me! Thanks for telling me about that 😊
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Sorry for necroposting. I accidentally found this thread and think it might be useful to provide a link to detailed answer for those who come here from search engines.
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It's ok, thanks very much for sharing this!
That answer is fantastic. I just added it to my bookmarked list of things to share in PR reviews, appreciate you sharing it!
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This pull request has been automatically locked since there has not been any recent activity since it was closed. To start a new related discussion, open a new issue at https://github.com/microsoft/LightGBM/issues including a reference to this. |
Contributes to #5606.
Adds the quantized training paper to the README alongside other papers.
@shiyu1994 @guolinke are there any others you'd like me to add?