Jacob Abernethy - Google Académico

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	Total	Desde 2015
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Peter BartlettProfessor, EECS and Statistics, UC BerkeleyDirección de correo verificada de cs.berkeley.edu
Theodoros EvgeniouINSEADDirección de correo verificada de insead.edu
Jean-Philippe VertGoogle Brain / Mines ParisTechDirección de correo verificada de mines-paristech.fr
Elad HazanProfessor at Princeton University and Director Google AI PrincetonDirección de correo verificada de cs.princeton.edu
Ambuj Tewari | अम्बुज तिवारीAssociate Professor, Department of Statistics and Department of EECS, University of MichiganDirección de correo verificada de umich.edu
Rafael FrongilloComputer Science, CU BoulderDirección de correo verificada de cs.berkeley.edu
Olivier ChapelleGoogleDirección de correo verificada de chapelle.cc
Carlos CastilloDistinguished Research Professor, Universitat Pompeu FabraDirección de correo verificada de upf.edu
Jennifer Wortman VaughanSenior Principal Researcher, Microsoft Research, New York CityDirección de correo verificada de microsoft.com
Francis BachInria - Ecole Normale SupérieureDirección de correo verificada de inria.fr
Yiling ChenHarvard UniversityDirección de correo verificada de seas.harvard.edu
John LangfordMicrosoft Research New YorkDirección de correo verificada de hunch.net
Alekh AgarwalMicrosoft ResearchDirección de correo verificada de microsoft.com
Chien-Ju HoWashington University in St. LouisDirección de correo verificada de wustl.edu
niv buchbinderTel Aviv universityDirección de correo verificada de post.tau.ac.il
Isabelle StantonSoftware Engineer at GoogleDirección de correo verificada de eecs.berkeley.edu
Michael KearnsProfessor of Computer Science, University of PennsylvaniaDirección de correo verificada de cis.upenn.edu
Satyen KaleStaff Research Scientist, Google ResearchDirección de correo verificada de google.com
Qingsi WangGoogleDirección de correo verificada de google.com
Shie MannorProfessor of Electrical Engineering, TechnionDirección de correo verificada de technion.ac.il

Jacob Abernethy

Assistant Professor, University of Michigan

Dirección de correo verificada de umich.edu

Machine Learning Game Theory Sequential Decision Making


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
A New Approach to Collaborative Filtering: Operator Estimation with Spectral Regularization. J Abernethy, F Bach, T Evgeniou, JP Vert Journal of Machine Learning Research 10 (3), 2009	266	2009
Competing in the dark: An efficient algorithm for bandit linear optimization JD Abernethy, E Hazan, A Rakhlin	259	2009
On convergence and stability of gans N Kodali, J Abernethy, J Hays, Z Kira arXiv preprint arXiv:1705.07215, 2017	210*	2017
Optimal strategies and minimax lower bounds for online convex games J Abernethy, PL Bartlett, A Rakhlin, A Tewari	121	2008
Optimal strategies and minimax lower bounds for online convex games J Abernethy, PL Bartlett, A Rakhlin, A Tewari	121	2008
Low-rank matrix factorization with attributes J Abernethy, F Bach, T Evgeniou, JP Vert arXiv preprint cs/0611124, 2006	98	2006
Web spam identification through content and hyperlinks J Abernethy, O Chapelle, C Castillo Proceedings of the 4th international workshop on Adversarial information …, 2008	96	2008
A stochastic view of optimal regret through minimax duality J Abernethy, A Agarwal, PL Bartlett, A Rakhlin arXiv preprint arXiv:0903.5328, 2009	87	2009
Efficient market making via convex optimization, and a connection to online learning J Abernethy, Y Chen, JW Vaughan ACM Transactions on Economics and Computation (TEAC) 1 (2), 1-39, 2013	76	2013
Graph regularization methods for web spam detection J Abernethy, O Chapelle, C Castillo Machine Learning 81 (2), 207-225, 2010	72	2010
Blackwell approachability and no-regret learning are equivalent J Abernethy, PL Bartlett, E Hazan Proceedings of the 24th Annual Conference on Learning Theory, 27-46, 2011	71	2011
A collaborative mechanism for crowdsourcing prediction problems JD Abernethy, RM Frongillo Advances in Neural Information Processing Systems, 2600-2608, 2011	61	2011
Multitask learning with expert advice J Abernethy, P Bartlett, A Rakhlin International Conference on Computational Learning Theory, 484-498, 2007	60	2007
Eliciting consumer preferences using robust adaptive choice questionnaires J Abernethy, T Evgeniou, O Toubia, JP Vert IEEE Transactions on Knowledge and Data Engineering 20 (2), 145-155, 2007	56	2007
Interior-point methods for full-information and bandit online learning JD Abernethy, E Hazan, A Rakhlin IEEE Transactions on Information Theory 58 (7), 4164-4175, 2012	49	2012
Witch: A new approach to web spam detection J Abernethy, O Chapelle, C Castillo In Proceedings of the 4th International Workshop on Adversarial Information …, 2008	49	2008
An optimization-based framework for automated market-making J Abernethy, Y Chen, J Wortman Vaughan Proceedings of the 12th ACM conference on Electronic commerce, 297-306, 2011	48	2011
Beating the adaptive bandit with high probability J Abernethy, A Rakhlin 2009 Information Theory and Applications Workshop, 280-289, 2009	44	2009
Online linear optimization via smoothing J Abernethy, C Lee, A Sinha, A Tewari Conference on Learning Theory, 807-823, 2014	42	2014
A characterization of scoring rules for linear properties JD Abernethy, RM Frongillo Conference on Learning Theory, 27.1-27.13, 2012	42	2012

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