Satyen Kale

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Elad HazanProfessor at Princeton University and Director Google AI PrincetonPotvrđena adresa e-pošte na princeton.edu
Sashank J. ReddiResearch Scientist, Google ResearchPotvrđena adresa e-pošte na cs.cmu.edu
Sanjiv KumarGoogle Fellow, VP, Google ResearchPotvrđena adresa e-pošte na google.com
Sanjeev AroraProfessor of Computer Science, Princeton UniversityPotvrđena adresa e-pošte na cs.princeton.edu
Mehryar MohriHead, Learning Theory Team, Google Research; Professor, Courant Institute of Mathematical Sciences.Potvrđena adresa e-pošte na google.com
Ananda Theertha SureshSenior Research Scientist, Google New YorkPotvrđena adresa e-pošte na google.com
Sai Praneeth KarimireddyPostdoc, UC BerkeleyPotvrđena adresa e-pošte na berkeley.edu
Sebastian Urban StichCISPA Helmholtz Center for Information SecurityPotvrđena adresa e-pošte na cispa.de
Robert SchapireMicrosoft ResearchPotvrđena adresa e-pošte na microsoft.com
John LangfordMicrosoft Research New YorkPotvrđena adresa e-pošte na hunch.net
Boaz BarakHarvard UniversityPotvrđena adresa e-pošte na boazbarak.org
Karthik SridharanCornell University, University of Pennsylvania, Toyota Technological InstitutePotvrđena adresa e-pošte na ttic.edu
C. SeshadhriUniversity of California, Santa CruzPotvrđena adresa e-pošte na ucsc.edu
Daniel HsuColumbia UniversityPotvrđena adresa e-pošte na cs.columbia.edu
Haipeng LuoUniversity of Southern CaliforniaPotvrđena adresa e-pošte na usc.edu
Kunal TalwarApple IncPotvrđena adresa e-pošte na apple.com
Kamalika ChaudhuriProfessor of Computer Science, UCSD. Research Scientist, Meta AIPotvrđena adresa e-pošte na eng.ucsd.edu
Cynthia DworkMicrosoft ResearchPotvrđena adresa e-pošte na microsoft.com
Frank McSherryMaterialize, Inc.Potvrđena adresa e-pošte na materialize.io
Tong ZhangHKUSTPotvrđena adresa e-pošte na tongzhang-ml.org

Prati

Satyen Kale

Staff Research Scientist, Google Research

Potvrđena adresa e-pošte na google.com - Početna stranica

Machine Learning Optimization Algorithms


Naslov Poredaj po navodima Poredaj po godini Poredaj po naslovu	Citirano Citirano	Godina
On the convergence of adam and beyond SJ Reddi, S Kale, S Kumar arXiv preprint arXiv:1904.09237, 2019	2148	2019
Logarithmic regret algorithms for online convex optimization E Hazan, A Agarwal, S Kale Machine Learning 69 (2), 169-192, 2007	1154	2007
The multiplicative weights update method: A meta-algorithm and applications S Arora, E Hazan, S Kale Theory of Computing 8 (1), 121-164, 2012	998	2012
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	996	2020
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	996	2020
Privacy, accuracy, and consistency too: a holistic solution to contingency table release B Barak, K Chaudhuri, C Dwork, S Kale, F McSherry, K Talwar Proceedings of the twenty-sixth ACM SIGMOD-SIGACT-SIGART Symposium on …, 2007	547	2007
Taming the Monster: A Fast and Simple Algorithm for Contextual Bandits A Agarwal, D Hsu, S Kale, J Langford, L Li, RE Schapire arXiv preprint arXiv:1402.0555, 2014	446	2014
Efficient Optimal Learning for Contextual Bandits M Dudik, D Hsu, S Kale, N Karampatziakis, J Langford, L Reyzin, T Zhang Arxiv preprint arXiv:1106.2369, 2011	297	2011
Adaptive methods for nonconvex optimization M Zaheer, S Reddi, D Sachan, S Kale, S Kumar Advances in neural information processing systems 31, 2018	283	2018
Beyond the regret minimization barrier: optimal algorithms for stochastic strongly-convex optimization. E Hazan, S Kale Journal of Machine Learning Research 15 (1), 2489-2512, 2014	265	2014
A combinatorial, primal-dual approach to semidefinite programs S Arora, S Kale Proceedings of the thirty-ninth annual ACM symposium on Theory of computing …, 2007	249	2007
Algorithms for portfolio management based on the newton method A Agarwal, E Hazan, S Kale, RE Schapire Proceedings of the 23rd international conference on Machine learning, 9-16, 2006	235	2006
Projection-free Online Learning E Hazan, S Kale Arxiv preprint arXiv:1206.4657, 2012	225	2012
Online optimization with gradual variations CK Chiang, T Yang, CJ Lee, M Mahdavi, CJ Lu, R Jin, S Zhu Conference on Learning Theory, 6.1-6.20, 2012	204	2012
Who Moderates the Moderators? Crowdsourcing Abuse Detection in User-Generated Content A Ghosh, S Kale, P McAfee Proceedings of the 12th ACM conference on Electronic commerce, 167-176, 2011	200	2011
Extracting certainty from uncertainty: Regret bounded by variation in costs E Hazan, S Kale Machine learning 80 (2-3), 165-188, 2010	158	2010
Fast algorithms for approximate semidefinite programming using the multiplicative weights update method S Arora, E Hazan, S Kale 46th Annual IEEE Symposium on Foundations of Computer Science (FOCS'05), 339-348, 2005	158	2005
Beyond the regret minimization barrier: an optimal algorithm for stochastic strongly-convex optimization E Hazan, S Kale Proceedings of the 24th Annual Conference on Learning Theory, 421-436, 2011	150	2011
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	139	2021
O(\logn) Approximation to SPARSEST CUT in ̃O(n^2) Time S Arora, E Hazan, S Kale SIAM Journal on Computing 39 (5), 1748-1771, 2010	130	2010

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