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Jacob D. Abernethy
Jacob Abernethy
Author information
- affiliation: University of Pennsylvania, Computer and Information Science Department
2010 – today
- 2013
[j8]Jacob Abernethy, Yiling Chen, Jennifer Wortman Vaughan: Efficient Market Making via Convex Optimization, and a Connection to Online Learning. ACM Trans. Economics and Comput. 1(2): 12 (2013)- 2012
[j7]Jacob D. Abernethy, Rafael M. Frongillo: A Characterization of Scoring Rules for Linear Properties. Journal of Machine Learning Research - Proceedings Track 23: 27.1-27.13 (2012)
[j6]Jacob Abernethy, Elad Hazan, Alexander Rakhlin: Interior-Point Methods for Full-Information and Bandit Online Learning. IEEE Transactions on Information Theory 58(7): 4164-4175 (2012)
[c17]Jacob Abernethy, Rafael M. Frongillo, Andre Wibisono: Minimax option pricing meets black-scholes in the limit. STOC 2012: 1029-1040
[i7]Jacob Abernethy, Rafael M. Frongillo, Andre Wibisono: Minimax Option Pricing Meets Black-Scholes in the Limit. CoRR abs/1202.2585 (2012)- 2011
[j5]Jacob Abernethy, Peter L. Bartlett, Elad Hazan: Blackwell Approachability and No-Regret Learning are Equivalent. Journal of Machine Learning Research - Proceedings Track 19: 27-46 (2011)
[j4]Jacob Abernethy, Shie Mannor: Does an Efficient Calibrated Forecasting Strategy Exist? Journal of Machine Learning Research - Proceedings Track 19: 809-812 (2011)
[c16]Jacob Abernethy, Rafael M. Frongillo: A Collaborative Mechanism for Crowdsourcing Prediction Problems. NIPS 2011: 2600-2608
[c15]Jacob Abernethy, Yiling Chen, Jennifer Wortman Vaughan: An optimization-based framework for automated market-making. ACM Conference on Electronic Commerce 2011: 297-306
[i6]Jacob Abernethy, Rafael M. Frongillo: A Collaborative Mechanism for Crowdsourcing Prediction Problems. CoRR abs/1111.2664 (2011)- 2010
[j3]Jacob Abernethy, Olivier Chapelle, Carlos Castillo: Graph regularization methods for Web spam detection. Machine Learning 81(2): 207-225 (2010)
[c14]Jacob Abernethy, Peter L. Bartlett, Niv Buchbinder, Isabelle Stanton: A Regularization Approach to Metrical Task Systems. ALT 2010: 270-284
[c13]
[c12]
[i5]Jacob Abernethy, Peter L. Bartlett, Elad Hazan: Blackwell Approachability and Low-Regret Learning are Equivalent. CoRR abs/1011.1936 (2010)
[i4]Jacob Abernethy, Yiling Chen, Jennifer Wortman Vaughan: An Optimization-Based Framework for Automated Market-Making. CoRR abs/1011.1941 (2010)
2000 – 2009
- 2009
[j2]Jacob Abernethy, Francis Bach, Theodoros Evgeniou, Jean-Philippe Vert: A New Approach to Collaborative Filtering: Operator Estimation with Spectral Regularization. Journal of Machine Learning Research 10: 803-826 (2009)
[c11]Jacob Abernethy, Alekh Agarwal, Peter L. Bartlett, Alexander Rakhlin: A Stochastic View of Optimal Regret through Minimax Duality. COLT 2009
[c10]
[c9]Jacob Abernethy, Alexander Rakhlin: An Efficient Bandit Algorithm for sqrt(T) Regret in Online Multiclass Prediction?. COLT 2009
[c8]
[i3]Jacob Abernethy, Alekh Agarwal, Peter L. Bartlett, Alexander Rakhlin: A Stochastic View of Optimal Regret through Minimax Duality. CoRR abs/0903.5328 (2009)- 2008
[j1]Jacob Abernethy, Theodoros Evgeniou, Olivier Toubia, Jean-Philippe Vert: Eliciting Consumer Preferences Using Robust Adaptive Choice Questionnaires. IEEE Trans. Knowl. Data Eng. 20(2): 145-155 (2008)
[c7]Jacob Abernethy, Olivier Chapelle, Carlos Castillo: Web spam identification through content and hyperlinks. AIRWeb 2008: 41-44
[c6]Jacob Abernethy, Elad Hazan, Alexander Rakhlin: Competing in the Dark: An Efficient Algorithm for Bandit Linear Optimization. COLT 2008: 263-274
[c5]Jacob Abernethy, Peter L. Bartlett, Alexander Rakhlin, Ambuj Tewari: Optimal Stragies and Minimax Lower Bounds for Online Convex Games. COLT 2008: 415-424
[c4]Jacob Abernethy, Manfred K. Warmuth, Joel Yellin: When Random Play is Optimal Against an Adversary. COLT 2008: 437-446
[i2]Francis Bach, Jacob Abernethy, Jean-Philippe Vert, Theodoros Evgeniou: A New Approach to Collaborative Filtering: Operator Estimation with Spectral Regularization. CoRR abs/0802.1430 (2008)- 2007
[c3]Jacob Abernethy, Peter L. Bartlett, Alexander Rakhlin: Multitask Learning with Expert Advice. COLT 2007: 484-498
[c2]Alexander Rakhlin, Jacob Abernethy, Peter L. Bartlett: Online discovery of similarity mappings. ICML 2007: 767-774- 2006
[c1]Jacob Abernethy, John Langford, Manfred K. Warmuth: Continuous Experts and the Binning Algorithm. COLT 2006: 544-558
[i1]Jacob Abernethy, Francis Bach, Theodoros Evgeniou, Jean-Philippe Vert: Low-rank matrix factorization with attributes. CoRR abs/cs/0611124 (2006)
Coauthor Index
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last updated on 2013-06-06 02:00 CEST by the dblp team



