Ohad Shamir

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Shai Shalev-ShwartzThe Hebrew UniversityDirección de correo verificada de cs.huji.ac.il
Karthik SridharanCornell University, University of Pennsylvania, Toyota Technological InstituteDirección de correo verificada de ttic.edu
Nathan SrebroProfessor, TTIC and University of ChicagoDirección de correo verificada de ttic.edu
Ofer DekelMicrosoft ResearchDirección de correo verificada de microsoft.com
Nicolò Cesa-BianchiProfessor of Computer Science, Università degli Studi di Milano and Politecnico di MilanoDirección de correo verificada de unimi.it
Gilad YehudaiPostdoctoral Associate, New York UniversityDirección de correo verificada de weizmann.ac.il
Itay SafranAssistant Professor of Computer Science, Ben-Gurion UniversityDirección de correo verificada de bgu.ac.il
Alexander RakhlinProfessor, MITDirección de correo verificada de mit.edu
Gal VardiWeizmann Institute of ScienceDirección de correo verificada de weizmann.ac.il
Shie MannorProfessor of Electrical Engineering @ Technion & Researcher @ NvidiaDirección de correo verificada de technion.ac.il
Ronen EldanWeizmann InstituteDirección de correo verificada de weizmann.ac.il
Adam Tauman KalaiOpenAIDirección de correo verificada de openai.com
Tong ZhangUIUCDirección de correo verificada de tongzhang-ml.org
Roi LivniTel Aviv UniversityDirección de correo verificada de tauex.tau.ac.il
Guy KornowskiPhD student, Weizmann Institute of ScienceDirección de correo verificada de weizmann.ac.il
Blake WoodworthGeorge Washington UniversityDirección de correo verificada de gwu.edu
Liran SzlakWeizmann Institute of ScienceDirección de correo verificada de weizmann.ac.il
Eran MalachKempner Institute, HarvardDirección de correo verificada de fas.harvard.edu
Sham M KakadeHarvard UniversityDirección de correo verificada de seas.harvard.edu
Sivan SabatoMcMaster University; Canada CIFAR AI Chair, Vector InstituteDirección de correo verificada de mcmaster.ca

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Ohad Shamir

Weizmann Institute of Science

Dirección de correo verificada de weizmann.ac.il - Página principal

Machine Learning Learning Theory


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
The power of depth for feedforward neural networks R Eldan, O Shamir Conference on learning theory, 907-940, 2016	989	2016
Learnability, stability and uniform convergence S Shalev-Shwartz, O Shamir, N Srebro, K Sridharan The Journal of Machine Learning Research 9999, 2635-2670, 2010	891*	2010
Making gradient descent optimal for strongly convex stochastic optimization A Rakhlin, O Shamir, K Sridharan arXiv preprint arXiv:1109.5647, 2011	823	2011
Optimal Distributed Online Prediction Using Mini-Batches. O Dekel, R Gilad-Bachrach, O Shamir, L Xiao Journal of Machine Learning Research 13 (1), 2012	800	2012
Communication-efficient distributed optimization using an approximate newton-type method O Shamir, N Srebro, T Zhang International conference on machine learning, 1000-1008, 2014	671	2014
Stochastic gradient descent for non-smooth optimization: Convergence results and optimal averaging schemes O Shamir, T Zhang International conference on machine learning, 71-79, 2013	658	2013
On the computational efficiency of training neural networks R Livni, S Shalev-Shwartz, O Shamir Advances in neural information processing systems 27, 2014	612	2014
Size-independent sample complexity of neural networks N Golowich, A Rakhlin, O Shamir Conference On Learning Theory, 297-299, 2018	460	2018
Better mini-batch algorithms via accelerated gradient methods A Cotter, O Shamir, N Srebro, K Sridharan Advances in neural information processing systems 24, 2011	394	2011
Adaptively learning the crowd kernel O Tamuz, C Liu, S Belongie, O Shamir, AT Kalai arXiv preprint arXiv:1105.1033, 2011	331	2011
Nonstochastic multi-armed bandits with graph-structured feedback N Alon, N Cesa-Bianchi, C Gentile, S Mannor, Y Mansour, O Shamir SIAM Journal on Computing 46 (6), 1785-1826, 2017	312*	2017
Spurious local minima are common in two-layer relu neural networks I Safran, O Shamir International conference on machine learning, 4433-4441, 2018	296	2018
Proving the lottery ticket hypothesis: Pruning is all you need E Malach, G Yehudai, S Shalev-Schwartz, O Shamir International Conference on Machine Learning, 6682-6691, 2020	293	2020
Is local SGD better than minibatch SGD? B Woodworth, KK Patel, S Stich, Z Dai, B Bullins, B Mcmahan, O Shamir, ... International Conference on Machine Learning, 10334-10343, 2020	284	2020
An optimal algorithm for bandit and zero-order convex optimization with two-point feedback O Shamir Journal of Machine Learning Research 18 (52), 1-11, 2017	275	2017
Learning and generalization with the information bottleneck O Shamir, S Sabato, N Tishby Theoretical Computer Science 411 (29-30), 2696-2711, 2010	253	2010
Communication complexity of distributed convex learning and optimization Y Arjevani, O Shamir Advances in neural information processing systems 28, 2015	231	2015
Depth-width tradeoffs in approximating natural functions with neural networks I Safran, O Shamir International conference on machine learning, 2979-2987, 2017	229*	2017
Failures of gradient-based deep learning S Shalev-Shwartz, O Shamir, S Shammah International Conference on Machine Learning, 3067-3075, 2017	223	2017
Learning to classify with missing and corrupted features O Dekel, O Shamir Proceedings of the 25th international conference on Machine learning, 216-223, 2008	222	2008

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