| Advances and open problems in federated learning P Kairouz, HB McMahan Foundations and trends in machine learning 14 (1-2), 1-210, 2021 | 9913 | 2021 |
| Foundations of Machine Learning M Mohri, A Rostamizadeh, A Talwalkar | 8129 | 2018 |
| Scaffold: Stochastic controlled averaging for federated learning SP Karimireddy, S Kale, M Mohri, S Reddi, S Stich, AT Suresh International conference on machine learning, 5132-5143, 2020 | 4699 | 2020 |
| Weighted finite-state transducers in speech recognition M Mohri, F Pereira, M Riley Computer Speech & Language 16 (1), 69-88, 2002 | 1498 | 2002 |
| Finite-state transducers in language and speech processing M Mohri Computational linguistics 23 (2), 269-311, 1997 | 1468 | 1997 |
| Agnostic federated learning M Mohri, G Sivek, AT Suresh International conference on machine learning, 4615-4625, 2019 | 1355 | 2019 |
| Cross-entropy loss functions: Theoretical analysis and applications A Mao, M Mohri, Y Zhong International conference on Machine learning, 23803-23828, 2023 | 1121 | 2023 |
| Domain adaptation: Learning bounds and algorithms Y Mansour, M Mohri, A Rostamizadeh arXiv preprint arXiv:0902.3430, 2009 | 1060 | 2009 |
| Multi-armed bandit algorithms and empirical evaluation J Vermorel, M Mohri European conference on machine learning, 437-448, 2005 | 899 | 2005 |
| AUC optimization vs. error rate minimization C Cortes, M Mohri Advances in neural information processing systems 16, 2003 | 885 | 2003 |
| OpenFst: A General and Efficient Weighted Finite-State Transducer Library: (Extended Abstract of an Invited Talk) C Allauzen, M Riley, J Schalkwyk, W Skut, M Mohri International Conference on Implementation and Application of Automata, 11-23, 2007 | 841 | 2007 |
| Three approaches for personalization with applications to federated learning Y Mansour, M Mohri, J Ro, AT Suresh arXiv preprint arXiv:2002.10619, 2020 | 823 | 2020 |
| L2 regularization for learning kernels C Cortes, M Mohri, A Rostamizadeh arXiv preprint arXiv:1205.2653, 2012 | 798 | 2012 |
| Algorithms for learning kernels based on centered alignment C Cortes, M Mohri, A Rostamizadeh The Journal of Machine Learning Research 13 (1), 795-828, 2012 | 731 | 2012 |
| Domain adaptation with multiple sources Y Mansour, M Mohri, A Rostamizadeh Advances in neural information processing systems 21, 2008 | 695 | 2008 |
| A field guide to federated optimization J Wang, Z Charles, Z Xu, G Joshi, HB McMahan, M Al-Shedivat, G Andrew, ... arXiv preprint arXiv:2107.06917, 2021 | 516 | 2021 |
| Sampling methods for the Nyström method S Kumar, M Mohri, A Talwalkar The Journal of Machine Learning Research 13 (1), 981-1006, 2012 | 506 | 2012 |
| Speech recognition with weighted finite-state transducers M Mohri, F Pereira, M Riley Springer Handbook of Speech Processing, 559-584, 2008 | 494 | 2008 |
| Learning bounds for importance weighting C Cortes, Y Mansour, M Mohri Advances in neural information processing systems 23, 2010 | 485 | 2010 |
| Sample selection bias correction theory C Cortes, M Mohri, M Riley, A Rostamizadeh International conference on algorithmic learning theory, 38-53, 2008 | 471 | 2008 |
Corinna CortesGoogle Research, NYVerified email at google.com
