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Mehryar Mohri

1994–2026 年に発表

308
論文数
32,856
被引用数
69
h 指数
205
i10 指数

被引用数

Mehryar Mohri の年別被引用数1962 年: 被引用 1 件1965 年: 被引用 1 件1994 年: 被引用 3 件1995 年: 被引用 6 件1996 年: 被引用 20 件1997 年: 被引用 33 件1998 年: 被引用 29 件1999 年: 被引用 36 件2000 年: 被引用 89 件2001 年: 被引用 66 件2002 年: 被引用 120 件2003 年: 被引用 180 件2004 年: 被引用 213 件2005 年: 被引用 203 件2006 年: 被引用 220 件2007 年: 被引用 308 件2008 年: 被引用 262 件2009 年: 被引用 386 件2010 年: 被引用 417 件2011 年: 被引用 510 件2012 年: 被引用 567 件2013 年: 被引用 600 件2014 年: 被引用 611 件2015 年: 被引用 699 件2016 年: 被引用 614 件2017 年: 被引用 585 件2018 年: 被引用 648 件2019 年: 被引用 931 件2020 年: 被引用 1,522 件2021 年: 被引用 1,928 件2022 年: 被引用 1,576 件2023 年: 被引用 1,674 件2024 年: 被引用 1,690 件2025 年: 被引用 1,474 件2026 年: 被引用 464 件2027 年: 被引用 1 件1963〜1964 年は被引用が無いため表示していません1966〜1993 年は被引用が無いため表示していません

引用元

国・地域

この著者を引用した国・地域の世界地図アメリカ合衆国: 引用元論文 4,256 件、この内訳の 24.6%中国: 引用元論文 3,264 件、この内訳の 18.8%イギリス: 引用元論文 942 件、この内訳の 5.4%ドイツ: 引用元論文 831 件、この内訳の 4.8%フランス: 引用元論文 829 件、この内訳の 4.8%カナダ: 引用元論文 535 件、この内訳の 3.1%オーストラリア: 引用元論文 500 件、この内訳の 2.9%日本: 引用元論文 419 件、この内訳の 2.4%イタリア: 引用元論文 404 件、この内訳の 2.3%香港: 引用元論文 394 件、この内訳の 2.3%インド: 引用元論文 357 件、この内訳の 2.1%シンガポール: 引用元論文 340 件、この内訳の 2%
0%24.6%その他 24.5%

機関

分野

  • Computer Science80.2%
  • Engineering6%
  • Decision Sciences3.7%
  • Medicine1.7%
  • Biochemistry, Genetics and Molecular Biology1.5%
  • Mathematics1.4%
  • その他5.5%

トピック

  • Privacy-Preserving Technologies in Data9.8%
  • Stochastic Gradient Optimization Techniques3.8%
  • Natural Language Processing Techniques3.6%
  • Domain Adaptation and Few-Shot Learning3.5%
  • Speech Recognition and Synthesis2.8%
  • Machine Learning and Algorithms2.7%
  • その他73.8%

共著者

全論文

検索で開く
  1. Advances and Open Problems in Federated Learning

    著者: Peter Kairouz, H. Brendan McMahan, Brendan Avent, Aurélien Bellet, Mehdi Bennis, Arjun Nitin Bhagoji, Kallista A. Bonawitz, Zachary Charles, Graham Cormode, Rachel Cummings, Rafael G. L. D'Oliveira, Hubert Eichner, Salim El Rouayheb, David Evans, Josh Gardner, Zachary Garrett, Adrià Gascón, Badih Ghazi, Phillip B. Gibbons, Marco Gruteser, Zaïd Harchaoui, Chaoyang He, Lie He, Zhouyuan Huo, Ben Hutchinson, Justin Hsu, Martin Jaggi, Tara Javidi, Gauri Joshi, Mikhail Khodak, Jakub Konecný, Aleksandra Korolova, Farinaz Koushanfar, Sanmi Koyejo, Tancrède Lepoint, Yang Liu, Prateek Mittal, Mehryar Mohri, Richard Nock, Ayfer Özgür, Rasmus Pagh, Hang Qi, Daniel Ramage, Ramesh Raskar, Mariana Raykova, Dawn Song, Weikang Song, Sebastian U. Stich, Ziteng Sun, Ananda Theertha Suresh, Florian Tramèr, Praneeth Vepakomma, Jianyu Wang, Li Xiong, Zheng Xu, Qiang Yang, Felix X. Yu, Han Yu, Sen Zhao - Foundations and Trends® in Machine Learning, Found. Trends Mach. Learn. 2020 被引用: 4,744

  2. Advances and Open Problems in Federated Learning

    著者: Peter Kairouz, H. Brendan McMahan, Brendan Avent, Aurélien Bellet, Mehdi Bennis, Arjun Nitin Bhagoji, Kallista A. Bonawitz, Zachary Charles, Graham Cormode, Rachel Cummings, Rafael G. L. D'Oliveira, Salim El Rouayheb, David Evans, Josh Gardner, Zachary Garrett, Adrià Gascón, Badih Ghazi, Phillip B. Gibbons, Marco Gruteser, Zaïd Harchaoui, Chaoyang He, Lie He, Zhouyuan Huo, Ben Hutchinson, Justin Hsu, Martin Jaggi, Tara Javidi, Gauri Joshi, Mikhail Khodak, Jakub Konecný, Aleksandra Korolova, Farinaz Koushanfar, Sanmi Koyejo, Tancrède Lepoint, Yang Liu, Prateek Mittal, Mehryar Mohri, Richard Nock, Ayfer Özgür, Rasmus Pagh, Mariana Raykova, Hang Qi, Daniel Ramage, Ramesh Raskar, Dawn Song, Weikang Song, Sebastian U. Stich, Ziteng Sun, Ananda Theertha Suresh, Florian Tramèr, Praneeth Vepakomma, Jianyu Wang, Li Xiong, Zheng Xu, Qiang Yang, Felix X. Yu, Han Yu, Sen Zhao - CoRR 2019 被引用: 1,103

  3. A Field Guide to Federated Optimization

    著者: Jianyu Wang, Zachary Charles, Zheng Xu, Gauri Joshi, H. Brendan McMahan, Blaise Agüera y Arcas, Maruan Al-Shedivat, Galen Andrew, Salman Avestimehr, Katharine Daly, Deepesh Data, Suhas N. Diggavi, Hubert Eichner, Advait Gadhikar, Zachary Garrett, Antonious M. Girgis, Filip Hanzely, Andrew Hard, Chaoyang He, Samuel Horváth, Zhouyuan Huo, Alex Ingerman, Martin Jaggi, Tara Javidi, Peter Kairouz, Satyen Kale, Sai Praneeth Karimireddy, Jakub Konecný, Sanmi Koyejo, Tian Li, Luyang Liu, Mehryar Mohri, Hang Qi, Sashank J. Reddi, Peter Richtárik, Karan Singhal, Virginia Smith, Mahdi Soltanolkotabi, Weikang Song, Ananda Theertha Suresh, Sebastian U. Stich, Ameet Talwalkar, Hongyi Wang, Blake E. Woodworth, Shanshan Wu, Felix X. Yu, Honglin Yuan, Manzil Zaheer, Mi Zhang, Tong Zhang, Chunxiang Zheng, Chen Zhu, Wennan Zhu - arXiv (Cornell University), CoRR 2021 被引用: 378

  4. Three Approaches for Personalization with Applications to Federated Learning

    著者: Yishay Mansour, Mehryar Mohri, Jae Ro, Ananda Theertha Suresh - arXiv (Cornell University), CoRR 2020 被引用: 470

  5. Cross-Entropy Loss Functions: Theoretical Analysis and Applications

    著者: Anqi Mao, Mehryar Mohri, Yutao Zhong - ICML 2023 被引用: 912

  6. Domain Adaptation: Learning Bounds and Algorithms

    著者: Yishay Mansour, Mehryar Mohri, Afshin Rostamizadeh - COLT 2009 被引用: 532

  7. SCAFFOLD: Stochastic Controlled Averaging for On-Device Federated Learning

    著者: Sai Praneeth Karimireddy, Satyen Kale, Mehryar Mohri, Sashank J. Reddi, Sebastian U. Stich, Ananda Theertha Suresh - arXiv (Cornell University), CoRR 2019 被引用: 735

  8. Mime: Mimicking Centralized Stochastic Algorithms in Federated Learning

    著者: Sai Praneeth Karimireddy, Martin Jaggi, Satyen Kale, Mehryar Mohri, Sashank J. Reddi, Sebastian U. Stich, Ananda Theertha Suresh - arXiv (Cornell University), CoRR 2020 被引用: 181

  9. L2 Regularization for Learning Kernels

    著者: Corinna Cortes, Mehryar Mohri, Afshin Rostamizadeh - UAI 2009 被引用: 363

  10. Multi-armed Bandit Algorithms and Empirical Evaluation

    著者: Joannès Vermorel, Mehryar Mohri - Lecture notes in computer science, ECML 2005 被引用: 519

  11. Algorithms for Learning Kernels Based on Centered Alignment

    著者: Corinna Cortes, Mehryar Mohri, Afshin Rostamizadeh - J. Mach. Learn. Res. 2012 被引用: 394

  12. Learning with Rejection

    著者: Corinna Cortes, Giulia DeSalvo, Mehryar Mohri - Lecture notes in computer science, ALT 2016 被引用: 156

  13. Weighted finite-state transducers in speech recognition

    著者: Mehryar Mohri, Fernando Pereira, Michael Riley - Computer Speech & Language, Comput. Speech Lang. 2002 被引用: 883

  14. Agnostic Federated Learning

    著者: Mehryar Mohri, Gary Sivek, Ananda Theertha Suresh - International Conference on Machine Learning, ICML 2019 被引用: 1,132

  15. Budgeted Multiple-Expert Deferral

    著者: Giulia DeSalvo, Clara Mohri, Mehryar Mohri, Yutao Zhong - ArXiv.org, CoRR 2025 被引用: 22

  16. Domain Adaptation with Multiple Sources

    著者: Yishay Mansour, Mehryar Mohri, Afshin Rostamizadeh - http://books.nips.cc/papers/files/nips21/NIPS2008_0198.pdf 2008 被引用: 589

  17. Breaking the centralized barrier for cross-device federated learning

    著者: Sai Praneeth Karimireddy, Martin Jaggi, Satyen Kale, Mehryar Mohri, Sashank J. Reddi, Sebastian U. Stich, Ananda Theertha Suresh - Neural Information Processing Systems, NeurIPS 2021 被引用: 109

  18. Domain Adaptation in Regression

    著者: Corinna Cortes, Mehryar Mohri - Lecture notes in computer science, ALT 2011 被引用: 93

  19. Algorithms and Theory for Multiple-Source Adaptation

    著者: Judy Hoffman, Mehryar Mohri, Ningshan Zhang - NeurIPS 2018 被引用: 191

  20. Domain adaptation and sample bias correction theory and algorithm for regression

    著者: Corinna Cortes, Mehryar Mohri - Theoretical Computer Science, Theor. Comput. Sci. 2013 被引用: 152

  21. A Finer Calibration Analysis for Adversarial Robustness

    著者: Pranjal Awasthi, Anqi Mao, Mehryar Mohri, Yutao Zhong - arXiv (Cornell University), CoRR 2021 被引用: 19

  22. AUC Optimization vs. Error Rate Minimization

    著者: Corinna Cortes, Mehryar Mohri - http://books.nips.cc/papers/files/nips16/preproc/NIPS2003_AA40.pdf 2003 被引用: 692

  23. Generalization bounds for non-stationary mixing processes

    著者: Vitaly Kuznetsov, Mehryar Mohri - Machine Learning, Mach. Learn. 2016 被引用: 56

  24. Sample Selection Bias Correction Theory

    著者: Corinna Cortes, Mehryar Mohri, Michael Riley, Afshin Rostamizadeh - Lecture notes in computer science, ALT 2008 被引用: 268