Mehryar Mohri

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Corinna CortesGoogle Research, NYEmail yang diverifikasi di google.com
Michael RileyGoogle, IncEmail yang diverifikasi di google.com
Ananda Theertha SureshGoogle Research, New YorkEmail yang diverifikasi di google.com
Vitaly KuznetsovResearcher, Hudson River TradingEmail yang diverifikasi di cims.nyu.edu
Yishay MansourTel Aviv UniversityEmail yang diverifikasi di tauex.tau.ac.il
Fernando PereiraVP, GoogleEmail yang diverifikasi di google.com
Anqi MaoDepartment of Mathematics, Courant Institute of Mathematical SciencesEmail yang diverifikasi di cims.nyu.edu
Yutao ZhongDepartment of Mathematics, Courant Institute of Mathematical SciencesEmail yang diverifikasi di cims.nyu.edu
Satyen KaleResearch Scientist, AppleEmail yang diverifikasi di satyenkale.com
Giulia DeSalvoGoogle ResearchEmail yang diverifikasi di GOOGLE.COM
Sebastian Urban StichCISPA Helmholtz CenterEmail yang diverifikasi di cispa.de
Sai Praneeth KarimireddyUSCEmail yang diverifikasi di usc.edu
Sanjiv KumarGoogle Fellow, VP, Google ResearchEmail yang diverifikasi di google.com
pranjal awasthiGoogleEmail yang diverifikasi di rutgers.edu
Ningshan ZhangEmail yang diverifikasi di stern.nyu.edu
andres muñoz medinaGoogle ResearchEmail yang diverifikasi di google.com
Ashish RastogiNetflixEmail yang diverifikasi di cs.nyu.edu
Brian RoarkGoogleEmail yang diverifikasi di google.com
Christoph DannResearch Scientist, GoogleEmail yang diverifikasi di google.com
Karthik SridharanCornell University, University of Pennsylvania, Toyota Technological InstituteEmail yang diverifikasi di ttic.edu

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Mehryar Mohri

Head, ML Theory, Google Research; Professor, Courant Institute of Mathematical Sciences.

Email yang diverifikasi di google.com - Beranda

Machine Learning


Judul Urutkan menurut kutipan Urutkan menurut tahun Urutkan menurut judul	Dikutip oleh Dikutip oleh	Tahun
Advances and open problems in federated learning P Kairouz, HB McMahan, B Avent, A Bellet, M Bennis, AN Bhagoji, ... Foundations and trends® in machine learning 14 (1–2), 1-210, 2021	7216	2021
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	3376	2020
Finite-state transducers in language and speech processing M Mohri Computational linguistics 23 (2), 269-311, 1997	1461	1997
Weighted finite-state transducers in speech recognition M Mohri, F Pereira, M Riley Computer Speech & Language 16 (1), 69-88, 2002	1454	2002
Agnostic federated learning M Mohri, G Sivek, AT Suresh International conference on machine learning, 4615-4625, 2019	1116	2019
Domain adaptation: Learning bounds and algorithms Y Mansour, M Mohri, A Rostamizadeh arXiv preprint arXiv:0902.3430, 2009	955	2009
AUC optimization vs. error rate minimization C Cortes, M Mohri Advances in neural information processing systems 16, 2003	849	2003
Multi-armed bandit algorithms and empirical evaluation J Vermorel, M Mohri European conference on machine learning, 437-448, 2005	840	2005
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 Implementation and Application of Automata: 12th International Conference …, 2007	827	2007
Three approaches for personalization with applications to federated learning Y Mansour, M Mohri, J Ro, AT Suresh arXiv preprint arXiv:2002.10619, 2020	706	2020
L2 regularization for learning kernels C Cortes, M Mohri, A Rostamizadeh arXiv preprint arXiv:1205.2653, 2012	679	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	662	2012
Domain adaptation with multiple sources Y Mansour, M Mohri, A Rostamizadeh Advances in neural information processing systems 21, 2008	652	2008
Speech recognition with weighted finite-state transducers M Mohri, F Pereira, M Riley Springer Handbook of Speech Processing, 559-584, 2008	479	2008
Sampling methods for the Nyström method S Kumar, M Mohri, A Talwalkar The Journal of Machine Learning Research 13 (1), 981-1006, 2012	477	2012
Sample selection bias correction theory C Cortes, M Mohri, M Riley, A Rostamizadeh International conference on algorithmic learning theory, 38-53, 2008	446	2008
Learning bounds for importance weighting C Cortes, Y Mansour, M Mohri Advances in neural information processing systems 23, 2010	444	2010
Semiring frameworks and algorithms for shortest-distance problems M Mohri Journal of Automata, Languages and Combinatorics 7 (3), 321-350, 2002	438	2002
Cross-entropy loss functions: Theoretical analysis and applications A Mao, M Mohri, Y Zhong International conference on Machine learning, 23803-23828, 2023	429	2023
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	416	2021

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