Skip to content

Latest commit

 

History

History
169 lines (154 loc) · 5.85 KB

Reference.md

File metadata and controls

169 lines (154 loc) · 5.85 KB

Reference规范

Tips

  1. 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

  2. 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},
    }
  3. 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。

  4. 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。

  5. 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

著名会议/期刊引用举例

会议

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:

  1. 根据NeurIPS(现称)的标准,2017年及以前简称为NIPS,2018年开始简称NeurIPS

2. NeurIPS虽然是会议,但是其名称没有Proceedings of

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}
}

期刊

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