Jennifer Wortman Vaughan

Jennifer Wortman

	2012
c21		Chien-Ju Ho, Jennifer Wortman Vaughan: Online Task Assignment in Crowdsourcing Markets. AAAI 2012
c20		Yiling Chen, Mike Ruberry, Jennifer Wortman Vaughan: Designing Informative Securities. UAI 2012: 185-195
i6		Kuzman Ganchev, Michael Kearns, Yuriy Nevmyvaka, Jennifer Wortman Vaughan: Censored Exploration and the Dark Pool Problem. CoRR abs/1205.2646 (2012)
i5		Yiling Chen, Mike Ruberry, Jennifer Wortman Vaughan: Designing Informative Securities. CoRR abs/1210.4837 (2012)
	2011
c19		Jacob Abernethy, Yiling Chen, Jennifer Wortman Vaughan: An optimization-based framework for automated market-making. ACM Conference on Electronic Commerce 2011: 297-306
	2010
j7		John Langford, Lihong Li, Yevgeniy Vorobeychik, Jennifer Wortman: Maintaining Equilibria During Exploration in Sponsored Search Auctions. Algorithmica 58(4): 990-1021 (2010)
j6		Kuzman Ganchev, Yuriy Nevmyvaka, Michael Kearns, Jennifer Wortman Vaughan: Censored exploration and the dark pool problem. Commun. ACM 53(5): 99-107 (2010)
j5		Shai Ben-David, John Blitzer, Koby Crammer, Alex Kulesza, Fernando Pereira, Jennifer Wortman Vaughan: A theory of learning from different domains. Machine Learning 79(1-2): 151-175 (2010)
j4		Maria-Florina Balcan, Steve Hanneke, Jennifer Wortman Vaughan: The true sample complexity of active learning. Machine Learning 80(2-3): 111-139 (2010)
j3		Yiling Chen, Jennifer Wortman Vaughan: Connections between markets and learning. SIGecom Exchanges 9(1): 6 (2010)
c18		Varun Kanade, Leslie G. Valiant, Jennifer Wortman Vaughan: Evolution with Drifting Targets. COLT 2010: 155-167
c17		Koby Crammer, Yishay Mansour, Eyal Even-Dar, Jennifer Wortman Vaughan: Regret Minimization With Concept Drift. COLT 2010: 168-180
c16		Yiling Chen, Jennifer Wortman Vaughan: A new understanding of prediction markets via no-regret learning. ACM Conference on Electronic Commerce 2010: 189-198
i4		Yiling Chen, Jennifer Wortman Vaughan: A New Understanding of Prediction Markets Via No-Regret Learning. CoRR abs/1003.0034 (2010)
i3		Varun Kanade, Leslie G. Valiant, Jennifer Wortman Vaughan: Evolution with Drifting Targets. CoRR abs/1005.3566 (2010)
i2		Jacob Abernethy, Yiling Chen, Jennifer Wortman Vaughan: An Optimization-Based Framework for Automated Market-Making. CoRR abs/1011.1941 (2010)
	2009
c15		Kuzman Ganchev, Michael Kearns, Yuriy Nevmyvaka, Jennifer Wortman Vaughan: Censored Exploration and the Dark Pool Problem. UAI 2009: 185-194
	2008
j2		Koby Crammer, Michael Kearns, Jennifer Wortman: Learning from Multiple Sources. Journal of Machine Learning Research 9: 1757-1774 (2008)
j1		Eyal Even-Dar, Michael Kearns, Yishay Mansour, Jennifer Wortman: Regret to the best vs. regret to the average. Machine Learning 72(1-2): 21-37 (2008)
c14		Maria-Florina Balcan, Steve Hanneke, Jennifer Wortman: The True Sample Complexity of Active Learning. COLT 2008: 45-56
c13		Michael Kearns, Jennifer Wortman: Learning from Collective Behavior. COLT 2008: 99-110
c12		John Langford, Alexander L. Strehl, Jennifer Wortman: Exploration scavenging. ICML 2008: 528-535
c11		Nicolas S. Lambert, John Langford, Jennifer Wortman, Yiling Chen, Daniel M. Reeves, Yoav Shoham, David M. Pennock: Self-financed wagering mechanisms for forecasting. ACM Conference on Electronic Commerce 2008: 170-179
c10		Yiling Chen, Lance Fortnow, Nicolas S. Lambert, David M. Pennock, Jennifer Wortman: Complexity of combinatorial market makers. ACM Conference on Electronic Commerce 2008: 190-199
i1		Yiling Chen, Lance Fortnow, Nicolas S. Lambert, David M. Pennock, Jennifer Wortman: Complexity of Combinatorial Market Makers. CoRR abs/0802.1362 (2008)
	2007
c9		Eyal Even-Dar, Michael J. Kearns, Yishay Mansour, Jennifer Wortman: Regret to the Best vs. Regret to the Average. COLT 2007: 233-247
c8		John Blitzer, Koby Crammer, Alex Kulesza, Fernando Pereira, Jennifer Wortman: Learning Bounds for Domain Adaptation. NIPS 2007
c7		Michael Kearns, Jinsong Tan, Jennifer Wortman: Privacy-Preserving Belief Propagation and Sampling. NIPS 2007
c6		Jennifer Wortman, Yevgeniy Vorobeychik, Lihong Li, John Langford: Maintaining Equilibria During Exploration in Sponsored Search Auctions. WINE 2007: 119-130
c5		Eyal Even-Dar, Michael J. Kearns, Jennifer Wortman: Sponsored Search with Contexts. WINE 2007: 312-317
	2006
c4		Eyal Even-Dar, Michael J. Kearns, Jennifer Wortman: Risk-Sensitive Online Learning. ALT 2006: 199-213
c3		Koby Crammer, Michael J. Kearns, Jennifer Wortman: Learning from Multiple Sources. NIPS 2006: 321-328
	2005
c2		Koby Crammer, Michael J. Kearns, Jennifer Wortman: Learning from Data of Variable Quality. NIPS 2005
	2004
c1		Eugene Nudelman, Jennifer Wortman, Yoav Shoham, Kevin Leyton-Brown: Run the GAMUT: A Comprehensive Approach to Evaluating Game-Theoretic Algorithms. AAMAS 2004: 880-887

Coauthor Index

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