Elad Hazan

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Satyen KaleResearch Scientist, ApplePreverjeni e-poštni naslov na satyenkale.com
Naman AgarwalSenior Research Scientist, Google AI PrincetonPreverjeni e-poštni naslov na google.com
Sanjeev AroraProfessor of Computer Science, Princeton UniversityPreverjeni e-poštni naslov na cs.princeton.edu
Xinyi ChenPrinceton University, Google DeepMindPreverjeni e-poštni naslov na princeton.edu
Cyril ZhangMicrosoft AIPreverjeni e-poštni naslov na microsoft.com
Brian BullinsAssistant Professor, Purdue UniversityPreverjeni e-poštni naslov na purdue.edu
Tomer KorenAssociate Professor at Tel Aviv UniversityPreverjeni e-poštni naslov na tauex.tau.ac.il
Dan GarberAssociate Professor at Technion - Israel Institute of TechnologyPreverjeni e-poštni naslov na technion.ac.il
John DuchiAssociate Professor of Statistics and Electrical Engineering, Stanford UniversityPreverjeni e-poštni naslov na stanford.edu
Zeyuan Allen-ZhuMeta AI / FAIR LabsPreverjeni e-poštni naslov na csail.mit.edu
Jacob AbernethyAssistant Professor, University of MichiganPreverjeni e-poštni naslov na umich.edu
Sham M KakadeHarvard UniversityPreverjeni e-poštni naslov na seas.harvard.edu
Alexander RakhlinProfessor, MITPreverjeni e-poštni naslov na mit.edu
Udaya GhaiAmazon, NYCPreverjeni e-poštni naslov na amazon.com
Tengyu MAStanford UniversityPreverjeni e-poštni naslov na stanford.edu
Karan SinghCarnegie Mellon UniversityPreverjeni e-poštni naslov na cmu.edu
Paula GraduPhD student, UC BerkeleyPreverjeni e-poštni naslov na berkeley.edu
Oren AnavaTechnionPreverjeni e-poštni naslov na tx.technion.ac.il
Shie MannorProfessor of Electrical Engineering @ Technion & Researcher @ NvidiaPreverjeni e-poštni naslov na technion.ac.il
Kfir Yehuda LevyAssistant Professor at Technion - Israel Institute of TechnologyPreverjeni e-poštni naslov na technion.ac.il

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Elad Hazan

Professor at Princeton University and Director Google AI Princeton

Preverjeni e-poštni naslov na princeton.edu - Domača stran

Machine Learning Mathematical Optimization


Naslov Razvrsti po navedbah Razvrsti po letniku Razvrsti po naslovu	Navedeno Navedeno	Leto
Adaptive subgradient methods for online learning and stochastic optimization. J Duchi, E Hazan, Y Singer Journal of machine learning research 12 (7), 2011	14230	2011
Introduction to online convex optimization E Hazan Foundations and Trends® in Optimization 2 (3-4), 157-325, 2016	2073	2016
Logarithmic regret algorithms for online convex optimization E Hazan, A Agarwal, S Kale Machine Learning 69 (2), 169-192, 2007	1340	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	1258	2012
On the optimization of deep networks: Implicit acceleration by overparameterization S Arora, N Cohen, E Hazan International conference on machine learning, 244-253, 2018	550	2018
Variance reduction for faster non-convex optimization Z Allen-Zhu, E Hazan International conference on machine learning, 699-707, 2016	442	2016
Competing in the Dark: An Efficient Algorithm for Bandit Linear Optimization. JD Abernethy, E Hazan, A Rakhlin COLT, 263-274, 2008	411	2008
Second-order stochastic optimization for machine learning in linear time N Agarwal, B Bullins, E Hazan Journal of Machine Learning Research 18 (116), 1-40, 2017	342*	2017
Beyond the regret minimization barrier: optimal algorithms for stochastic strongly-convex optimization E Hazan, S Kale The Journal of Machine Learning Research 15 (1), 2489-2512, 2014	317	2014
Provably efficient maximum entropy exploration E Hazan, S Kakade, K Singh, A Van Soest International Conference on Machine Learning, 2681-2691, 2019	315	2019
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	284	2006
Finding approximate local minima faster than gradient descent N Agarwal, Z Allen-Zhu, B Bullins, E Hazan, T Ma Proceedings of the 49th Annual ACM SIGACT Symposium on Theory of Computing …, 2017	273	2017
Adaptive online gradient descent E Hazan, A Rakhlin, P Bartlett Advances in neural information processing systems 20, 2007	272	2007
Projection-free online learning E Hazan, S Kale arXiv preprint arXiv:1206.4657, 2012	268	2012
On the complexity of approximating k-set packing E Hazan, S Safra, O Schwartz computational complexity 15 (1), 20-39, 2006	261*	2006
Online control with adversarial disturbances N Agarwal, B Bullins, E Hazan, S Kakade, K Singh International Conference on Machine Learning, 111-119, 2019	255	2019
Efficient learning algorithms for changing environments E Hazan, C Seshadhri Proceedings of the 26th annual international conference on machine learning …, 2009	234	2009
Faster rates for the Frank-Wolfe method over strongly-convex sets D Garber, E Hazan International Conference on Machine Learning, 541-549, 2015	217	2015
Sparse approximate solutions to semidefinite programs E Hazan Latin American symposium on theoretical informatics, 306-316, 2008	209	2008
Variance-reduced and projection-free stochastic optimization E Hazan, H Luo International Conference on Machine Learning, 1263-1271, 2016	194	2016

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