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bib来源:Google Scholar以及DBLP上可以得到论文的bib描述。要注意的是:1)这里的bib可能不符合我们的规范,仍需参考著名会议/期刊引用举例引用进行规范化;2)相比于Google Scholar,DBLP更专注于计算机类的文献,提供的bibtex质量更好一些
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专有名词大写:LaTeX会自动将除首字母之外的部分变成小写,需要加大括号{}保持大写,例如Communication of {ACM}中需要对ACM添加{}使其保持大写。
@article{CACM'21:DL-AI, author = {Bengio, Yoshua and Lecun, Yann and Hinton, Geoffrey}, title = {Deep Learning for {AI}}, year = {2021}, volume = {64}, number = {7}, journal = {Communication of {ACM}}, pages = {58–65}, }
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人名:中国人名需要注意格式,如果署名是Lijun Zhang,那么reference中的缩写就是L. Zhang,如果署名是Zhi-Hua Zhou,缩写就是Z.-H. Zhou。具体采用哪种方式需以该学者对自己论文的引用中的格式为主。
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引用特定定理:使用{\citep[Lemma 12]{ArXiv'21:SCREAM-Zhao}} 来引用论文中的特定定理。
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显示bib文件的所有引用内容(未在正文中引用的也显示)
\nocite{*} \bibliography{xxx}
注:可以做debug用,正常情况下不要开启
一些机器学习/学习理论著名会议:AISTATS, COLT, NeurIPS, ICML, AAAI, IJCAI, UAI等的引用规范
AISTATS
@inproceedings{AISTATS'11:smooth-BCO,
author = {Ankan Saha and
Ambuj Tewari},
title = {Improved Regret Guarantees for Online Smooth Convex Optimization with
Bandit Feedback},
booktitle = {Proceedings of the 14th International Conference on Artificial Intelligence and Statistics (AISTATS)},
pages = {636--642},
year = {2011}
}
COLT
@inproceedings{COLT'21:Yu-Xiang,
author = {Dheeraj Baby and
Yu{-}Xiang Wang},
title = {Optimal Dynamic Regret in Exp-Concave Online Learning},
booktitle = {Proceedings of 34th Conference on Learning Theory (COLT)},
pages = {359--409},
year = {2021}
}
NeurIPS
@inproceedings{NIPS'15:OCOmemory,
author = {Oren Anava and
Elad Hazan and
Shie Mannor},
title = {Online Learning for Adversaries with Memory: Price of Past Mistakes},
booktitle = {Advances in Neural Information Processing Systems 28 (NeurIPS)},
pages = {784--792},
year = {2015}
}
注:
- 根据NeurIPS(现称)的标准,2017年及以前简称为NIPS,2018年开始简称NeurIPS
ICML
@inproceedings{ICML'19:online-control,
author = {Naman Agarwal and
Brian Bullins and
Elad Hazan and
Sham M. Kakade and
Karan Singh},
title = {Online Control with Adversarial Disturbances},
booktitle = {Proceedings of the 36th International Conference on Machine Learning (ICML)},
pages = {111--119},
year = {2019}
}
AAAI
@inproceedings{AAAI'21:UnseenJob,
author = {Yu-Jie Zhang and Yu-Hu Yan and Peng Zhao and Zhi-Hua Zhou},
title = {Towards Enabling Learnware to Handle Unseen Jobs},
booktitle = {Proceedings of the 35th AAAI Conference on Artificial Intelligence (AAAI)},
year = {2021},
pages = {10964--10972}
}
IJCAI
@inproceedings{IJCAI'20:zhanglj-changing,
author = {Lijun Zhang},
title = {Online Learning in Changing Environments},
booktitle = {Proceedings of the 29th International Joint Conference on Artificial Intelligence (IJCAI)},
pages = {5178--5182},
year = {2020}
}
UAI
@inproceedings{UAI'20:SLB,
author = {Baekjin Kim and
Ambuj Tewari},
title = {Randomized Exploration for Non-Stationary Stochastic Linear Bandits},
booktitle = {Proceedings of the Thirty-Sixth Conference on Uncertainty in Artificial Intelligence (UAI)},
pages = {71--80},
year = {2020}
}
一些机器学习/学习理论著名期刊:JMLR, TPAMI, arXiv等的引用规范
JMLR
@article{JMLR'21:BCO,
author = {Peng Zhao and
Guanghui Wang and
Lijun Zhang and
Zhi-Hua Zhou},
title = {Bandit Convex Optimization in Non-stationary Environments},
journal = {Journal of Machine Learning Research},
volume = {22},
number = {125},
pages = {1 -- 45},
year = {2021}
}
TPAMI
@article{TPAMI'21:Safe,
author = {Yu-Feng Li and
Lan-Zhe Guo and
Zhi-Hua Zhou},
title = {Towards Safe Weakly Supervised Learning},
journal = {{IEEE} Transactions on Pattern Analysis and Machine Intelligence},
volume = {43},
number = {1},
pages = {xxx -- xxx},
year = {2021}
}
arXiv
@article{arXiv'22:rate-optimal,
author = {Asaf Cassel and
Alon Cohen and
Tomer Koren},
title = {Rate-Optimal Online Convex Optimization in Adaptive Linear Control},
journal = {ArXiv preprint},
volume = {arXiv:2206.01426},
year = {2022},
}
注:volume部分对应的是文章的arXiv网址,例如这篇文章的arXiv网址为:https://arxiv.org/abs/2206.01426