Jacob Abernethy

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Peter BartlettProfessor, EECS and Statistics, UC BerkeleyVerified email at cs.berkeley.edu
Ambuj Tewari | अम्बुज तिवारीProfessor, Statistics and EECS, University of MichiganVerified email at umich.edu
Elad HazanProfessor at Princeton University and Director Google AI PrincetonVerified email at princeton.edu
Theodoros EvgeniouINSEADVerified email at insead.edu
Jean-Philippe VertOwkin / PSL UniversityVerified email at mines-paristech.fr
Rafael FrongilloComputer Science, CU BoulderVerified email at colorado.edu
Jennifer Wortman VaughanSenior Principal Researcher, Microsoft Research, New York CityVerified email at microsoft.com
Olivier ChapelleGoogleVerified email at chapelle.cc
Carlos CastilloICREA Research Professor at Universitat Pompeu FabraVerified email at icrea.cat
Francis BachInria - Ecole Normale SupérieureVerified email at inria.fr
Yiling ChenHarvard UniversityVerified email at seas.harvard.edu
John LangfordMicrosoft Research New YorkVerified email at hunch.net
Alekh AgarwalGoogleVerified email at google.com
Chien-Ju HoWashington University in St. LouisVerified email at wustl.edu
Satyen KaleStaff Research Scientist, Google ResearchVerified email at google.com
niv buchbinderTel Aviv universityVerified email at post.tau.ac.il
Isabelle StantonSoftware Engineer at GoogleVerified email at eecs.berkeley.edu
Michael KearnsProfessor of Computer Science, University of PennsylvaniaVerified email at cis.upenn.edu
Qingsi WangGoogleVerified email at google.com
Shie MannorProfessor of Electrical Engineering @ Technion & Researcher @ Nvidia ResearchVerified email at technion.ac.il

Jacob Abernethy

Assistant Professor, University of Michigan

Verified email at umich.edu

Machine Learning Game Theory Sequential Decision Making


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On convergence and stability of gans N Kodali, J Abernethy, J Hays, Z Kira arXiv preprint arXiv:1705.07215, 2017	615*	2017
Competing in the dark: An efficient algorithm for bandit linear optimization JD Abernethy, E Hazan, A Rakhlin	359	2009
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	300	2009
Optimal strategies and minimax lower bounds for online convex games J Abernethy, PL Bartlett, A Rakhlin, A Tewari	172	2008
Optimal strategies and minimax lower bounds for online convex games J Abernethy, PL Bartlett, A Rakhlin, A Tewari	172	2008
Dynamic online pricing with incomplete information using multiarmed bandit experiments K Misra, EM Schwartz, J Abernethy Marketing Science 38 (2), 226-252, 2019	129	2019
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	117	2011
Low-rank matrix factorization with attributes J Abernethy, F Bach, T Evgeniou, JP Vert arXiv preprint cs/0611124, 2006	108	2006
Web spam identification through content and hyperlinks J Abernethy, O Chapelle, C Castillo Proceedings of the 4th international workshop on Adversarial information …, 2008	107	2008
A stochastic view of optimal regret through minimax duality J Abernethy, A Agarwal, PL Bartlett, A Rakhlin arXiv preprint arXiv:0903.5328, 2009	99	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	96	2013
Graph regularization methods for web spam detection J Abernethy, O Chapelle, C Castillo Machine Learning 81, 207-225, 2010	84	2010
A collaborative mechanism for crowdsourcing prediction problems JD Abernethy, R Frongillo Advances in Neural Information Processing Systems 24, 2011	75	2011
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	69	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	67	2012
Online linear optimization via smoothing J Abernethy, C Lee, A Sinha, A Tewari Conference on Learning Theory, 807-823, 2014	65	2014
Fighting bandits with a new kind of smoothness JD Abernethy, C Lee, A Tewari Advances in Neural Information Processing Systems 28, 2015	62	2015
Beating the adaptive bandit with high probability J Abernethy, A Rakhlin 2009 Information Theory and Applications Workshop, 280-289, 2009	62	2009
Multitask learning with expert advice J Abernethy, P Bartlett, A Rakhlin Learning Theory: 20th Annual Conference on Learning Theory, COLT 2007, San …, 2007	62	2007
Last-iterate convergence rates for min-max optimization J Abernethy, KA Lai, A Wibisono arXiv preprint arXiv:1906.02027, 2019	60	2019

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