BibTeX records: Hao-Jun Michael Shi

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@article{DBLP:journals/oms/ShiXON23,
  author       = {Hao{-}Jun Michael Shi and
                  Melody Qiming Xuan and
                  Figen {\"{O}}ztoprak and
                  Jorge Nocedal},
  title        = {On the numerical performance of finite-difference-based methods for
                  derivative-free optimization},
  journal      = {Optim. Methods Softw.},
  volume       = {38},
  number       = {2},
  pages        = {289--311},
  year         = {2023},
  url          = {https://doi.org/10.1080/10556788.2022.2121832},
  doi          = {10.1080/10556788.2022.2121832},
  timestamp    = {Fri, 10 Mar 2023 00:00:00 +0100},
  biburl       = {https://dblp.org/rec/journals/oms/ShiXON23.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

@article{DBLP:journals/corr/abs-2309-06497,
  author       = {Hao{-}Jun Michael Shi and
                  Tsung{-}Hsien Lee and
                  Shintaro Iwasaki and
                  Jose Gallego{-}Posada and
                  Zhijing Li and
                  Kaushik Rangadurai and
                  Dheevatsa Mudigere and
                  Michael Rabbat},
  title        = {A Distributed Data-Parallel PyTorch Implementation of the Distributed
                  Shampoo Optimizer for Training Neural Networks At-Scale},
  journal      = {CoRR},
  volume       = {abs/2309.06497},
  year         = {2023},
  url          = {https://doi.org/10.48550/arXiv.2309.06497},
  doi          = {10.48550/ARXIV.2309.06497},
  eprinttype    = {arXiv},
  eprint       = {2309.06497},
  timestamp    = {Thu, 21 Sep 2023 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/corr/abs-2309-06497.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

@article{DBLP:journals/siamjo/ShiXBN22,
  author       = {Hao{-}Jun Michael Shi and
                  Yuchen Xie and
                  Richard H. Byrd and
                  Jorge Nocedal},
  title        = {A Noise-Tolerant Quasi-Newton Algorithm for Unconstrained Optimization},
  journal      = {{SIAM} J. Optim.},
  volume       = {32},
  number       = {1},
  pages        = {29--55},
  year         = {2022},
  url          = {https://doi.org/10.1137/20m1373190},
  doi          = {10.1137/20M1373190},
  timestamp    = {Wed, 29 Jun 2022 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/siamjo/ShiXBN22.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

@article{DBLP:journals/siamsc/ShiXXN22,
  author       = {Hao{-}Jun Michael Shi and
                  Yuchen Xie and
                  Melody Qiming Xuan and
                  Jorge Nocedal},
  title        = {Adaptive Finite-Difference Interval Estimation for Noisy Derivative-Free
                  Optimization},
  journal      = {{SIAM} J. Sci. Comput.},
  volume       = {44},
  number       = {4},
  pages        = {2302},
  year         = {2022},
  url          = {https://doi.org/10.1137/21m1452470},
  doi          = {10.1137/21M1452470},
  timestamp    = {Mon, 28 Aug 2023 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/siamsc/ShiXXN22.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

@inproceedings{DBLP:conf/kdd/ShiMNY20,
  author       = {Hao{-}Jun Michael Shi and
                  Dheevatsa Mudigere and
                  Maxim Naumov and
                  Jiyan Yang},
  editor       = {Rajesh Gupta and
                  Yan Liu and
                  Jiliang Tang and
                  B. Aditya Prakash},
  title        = {Compositional Embeddings Using Complementary Partitions for Memory-Efficient
                  Recommendation Systems},
  booktitle    = {{KDD} '20: The 26th {ACM} {SIGKDD} Conference on Knowledge Discovery
                  and Data Mining, Virtual Event, CA, USA, August 23-27, 2020},
  pages        = {165--175},
  publisher    = {{ACM}},
  year         = {2020},
  url          = {https://doi.org/10.1145/3394486.3403059},
  doi          = {10.1145/3394486.3403059},
  timestamp    = {Tue, 09 Mar 2021 00:00:00 +0100},
  biburl       = {https://dblp.org/rec/conf/kdd/ShiMNY20.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

@article{DBLP:journals/corr/abs-1906-00091,
  author       = {Maxim Naumov and
                  Dheevatsa Mudigere and
                  Hao{-}Jun Michael Shi and
                  Jianyu Huang and
                  Narayanan Sundaraman and
                  Jongsoo Park and
                  Xiaodong Wang and
                  Udit Gupta and
                  Carole{-}Jean Wu and
                  Alisson G. Azzolini and
                  Dmytro Dzhulgakov and
                  Andrey Mallevich and
                  Ilia Cherniavskii and
                  Yinghai Lu and
                  Raghuraman Krishnamoorthi and
                  Ansha Yu and
                  Volodymyr Kondratenko and
                  Stephanie Pereira and
                  Xianjie Chen and
                  Wenlin Chen and
                  Vijay Rao and
                  Bill Jia and
                  Liang Xiong and
                  Misha Smelyanskiy},
  title        = {Deep Learning Recommendation Model for Personalization and Recommendation
                  Systems},
  journal      = {CoRR},
  volume       = {abs/1906.00091},
  year         = {2019},
  url          = {http://arxiv.org/abs/1906.00091},
  eprinttype    = {arXiv},
  eprint       = {1906.00091},
  timestamp    = {Wed, 15 Apr 2020 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/corr/abs-1906-00091.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

@article{DBLP:journals/corr/abs-1909-02107,
  author       = {Hao{-}Jun Michael Shi and
                  Dheevatsa Mudigere and
                  Maxim Naumov and
                  Jiyan Yang},
  title        = {Compositional Embeddings Using Complementary Partitions for Memory-Efficient
                  Recommendation Systems},
  journal      = {CoRR},
  volume       = {abs/1909.02107},
  year         = {2019},
  url          = {http://arxiv.org/abs/1909.02107},
  eprinttype    = {arXiv},
  eprint       = {1909.02107},
  timestamp    = {Mon, 16 Sep 2019 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/corr/abs-1909-02107.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

@article{DBLP:journals/spl/GuTSCNP18,
  author       = {Xiaoyi Gu and
                  Shenyinying Tu and
                  Hao{-}Jun Michael Shi and
                  Mindy Case and
                  Deanna Needell and
                  Yaniv Plan},
  title        = {Optimizing Quantization for Lasso Recovery},
  journal      = {{IEEE} Signal Process. Lett.},
  volume       = {25},
  number       = {1},
  pages        = {45--49},
  year         = {2018},
  url          = {https://doi.org/10.1109/LSP.2017.2770018},
  doi          = {10.1109/LSP.2017.2770018},
  timestamp    = {Fri, 29 Dec 2017 00:00:00 +0100},
  biburl       = {https://dblp.org/rec/journals/spl/GuTSCNP18.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

@inproceedings{DBLP:conf/icml/BollapragadaMNS18,
  author       = {Raghu Bollapragada and
                  Dheevatsa Mudigere and
                  Jorge Nocedal and
                  Hao{-}Jun Michael Shi and
                  Ping Tak Peter Tang},
  editor       = {Jennifer G. Dy and
                  Andreas Krause},
  title        = {A Progressive Batching {L-BFGS} Method for Machine Learning},
  booktitle    = {Proceedings of the 35th International Conference on Machine Learning,
                  {ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
                  10-15, 2018},
  series       = {Proceedings of Machine Learning Research},
  volume       = {80},
  pages        = {619--628},
  publisher    = {{PMLR}},
  year         = {2018},
  url          = {http://proceedings.mlr.press/v80/bollapragada18a.html},
  timestamp    = {Wed, 03 Apr 2019 18:17:30 +0200},
  biburl       = {https://dblp.org/rec/conf/icml/BollapragadaMNS18.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

@article{DBLP:journals/corr/abs-1802-05374,
  author       = {Raghu Bollapragada and
                  Dheevatsa Mudigere and
                  Jorge Nocedal and
                  Hao{-}Jun Michael Shi and
                  Ping Tak Peter Tang},
  title        = {A Progressive Batching {L-BFGS} Method for Machine Learning},
  journal      = {CoRR},
  volume       = {abs/1802.05374},
  year         = {2018},
  url          = {http://arxiv.org/abs/1802.05374},
  eprinttype    = {arXiv},
  eprint       = {1802.05374},
  timestamp    = {Mon, 13 Aug 2018 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/corr/abs-1802-05374.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

@inproceedings{DBLP:conf/ita/ShiCGTN16,
  author       = {Hao{-}Jun Michael Shi and
                  Mindy Case and
                  Xiaoyi Gu and
                  Shenyinying Tu and
                  Deanna Needell},
  title        = {Methods for quantized compressed sensing},
  booktitle    = {2016 Information Theory and Applications Workshop, {ITA} 2016, La
                  Jolla, CA, USA, January 31 - February 5, 2016},
  pages        = {1--9},
  publisher    = {{IEEE}},
  year         = {2016},
  url          = {https://doi.org/10.1109/ITA.2016.7888203},
  doi          = {10.1109/ITA.2016.7888203},
  timestamp    = {Wed, 16 Oct 2019 14:14:51 +0200},
  biburl       = {https://dblp.org/rec/conf/ita/ShiCGTN16.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

@article{DBLP:journals/corr/LuoSSYZ16,
  author       = {Jerry Luo and
                  Kayla Shapiro and
                  Hao{-}Jun Michael Shi and
                  Qi Yang and
                  Kan Zhu},
  title        = {Practical Algorithms for Learning Near-Isometric Linear Embeddings},
  journal      = {CoRR},
  volume       = {abs/1601.00062},
  year         = {2016},
  url          = {http://arxiv.org/abs/1601.00062},
  eprinttype    = {arXiv},
  eprint       = {1601.00062},
  timestamp    = {Mon, 13 Aug 2018 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/corr/LuoSSYZ16.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

@article{DBLP:journals/corr/GuTSCNP16,
  author       = {Xiaoyi Gu and
                  Shenyinying Tu and
                  Hao{-}Jun Michael Shi and
                  Mindy Case and
                  Deanna Needell and
                  Yaniv Plan},
  title        = {Optimizing quantization for Lasso recovery},
  journal      = {CoRR},
  volume       = {abs/1606.03055},
  year         = {2016},
  url          = {http://arxiv.org/abs/1606.03055},
  eprinttype    = {arXiv},
  eprint       = {1606.03055},
  timestamp    = {Mon, 13 Aug 2018 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/corr/GuTSCNP16.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

@article{DBLP:journals/corr/ShiCGTN15,
  author       = {Hao{-}Jun Michael Shi and
                  Mindy Case and
                  Xiaoyi Gu and
                  Shenyinying Tu and
                  Deanna Needell},
  title        = {Methods for Quantized Compressed Sensing},
  journal      = {CoRR},
  volume       = {abs/1512.09184},
  year         = {2015},
  url          = {http://arxiv.org/abs/1512.09184},
  eprinttype    = {arXiv},
  eprint       = {1512.09184},
  timestamp    = {Mon, 13 Aug 2018 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/corr/ShiCGTN15.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

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