Jacob Abernethy
Jacob Abernethy
Assistant Professor, University of Michigan
Email verificata su umich.edu
Titolo
Citata da
Citata da
Anno
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
2682009
Competing in the dark: An efficient algorithm for bandit linear optimization
JD Abernethy, E Hazan, A Rakhlin
2592009
On convergence and stability of gans
N Kodali, J Abernethy, J Hays, Z Kira
arXiv preprint arXiv:1705.07215, 2017
222*2017
Optimal strategies and minimax lower bounds for online convex games
J Abernethy, PL Bartlett, A Rakhlin, A Tewari
1232008
Optimal strategies and minimax lower bounds for online convex games
J Abernethy, PL Bartlett, A Rakhlin, A Tewari
1232008
Web spam identification through content and hyperlinks
J Abernethy, O Chapelle, C Castillo
Proceedings of the 4th international workshop on Adversarial information …, 2008
982008
Low-rank matrix factorization with attributes
J Abernethy, F Bach, T Evgeniou, JP Vert
arXiv preprint cs/0611124, 2006
982006
A stochastic view of optimal regret through minimax duality
J Abernethy, A Agarwal, PL Bartlett, A Rakhlin
arXiv preprint arXiv:0903.5328, 2009
872009
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
762013
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
732011
Graph regularization methods for web spam detection
J Abernethy, O Chapelle, C Castillo
Machine Learning 81 (2), 207-225, 2010
732010
A collaborative mechanism for crowdsourcing prediction problems
JD Abernethy, RM Frongillo
Advances in Neural Information Processing Systems, 2600-2608, 2011
622011
Multitask learning with expert advice
J Abernethy, P Bartlett, A Rakhlin
International Conference on Computational Learning Theory, 484-498, 2007
612007
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
572007
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
492012
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
492011
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
492008
Beating the adaptive bandit with high probability
J Abernethy, A Rakhlin
2009 Information Theory and Applications Workshop, 280-289, 2009
442009
Online linear optimization via smoothing
J Abernethy, C Lee, A Sinha, A Tewari
Conference on Learning Theory, 807-823, 2014
432014
A characterization of scoring rules for linear properties
JD Abernethy, RM Frongillo
Conference on Learning Theory, 27.1-27.13, 2012
422012
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
Articoli 1–20