Jennifer Wortman

Publication Activity (10 Years)

Years Active: 2004-2010
Publications (10 Years): 0

Publications

John Langford, Lihong Li, Yevgeniy Vorobeychik, Jennifer Wortman
Maintaining Equilibria During Exploration in Sponsored Search Auctions. Algorithmica 58 (4) (2010)
Michael J. Kearns, J. Stephen Judd, Jinsong Tan, Jennifer Wortman
Behavioral experiments on biased voting in networks. Proc. Natl. Acad. Sci. USA 106 (5) (2009)
Yiling Chen, Lance Fortnow, Nicolas S. Lambert, David M. Pennock, Jennifer Wortman
Complexity of Combinatorial Market Makers CoRR (2008)
Eyal Even-Dar, Michael J. Kearns, Yishay Mansour, Jennifer Wortman
Regret to the best vs. regret to the average. Mach. Learn. 72 (1-2) (2008)
Michael J. Kearns, Jennifer Wortman
Learning from Collective Behavior. COLT (2008)
Maria-Florina Balcan, Steve Hanneke, Jennifer Wortman
The True Sample Complexity of Active Learning. COLT (2008)
Nicolas S. Lambert, John Langford, Jennifer Wortman, Yiling Chen, Daniel M. Reeves, Yoav Shoham, David M. Pennock
Self-financed wagering mechanisms for forecasting. EC (2008)
Koby Crammer, Michael J. Kearns, Jennifer Wortman
Learning from Multiple Sources. J. Mach. Learn. Res. 9 (2008)
Yiling Chen, Lance Fortnow, Nicolas S. Lambert, David M. Pennock, Jennifer Wortman
Complexity of combinatorial market makers. EC (2008)
John Langford, Alexander L. Strehl, Jennifer Wortman
Exploration scavenging. ICML (2008)
Eyal Even-Dar, Michael J. Kearns, Yishay Mansour, Jennifer Wortman
Regret to the Best vs. Regret to the Average. COLT (2007)
Jennifer Wortman, Yevgeniy Vorobeychik, Lihong Li, John Langford
Maintaining Equilibria During Exploration in Sponsored Search Auctions. WINE (2007)
Michael J. Kearns, Jinsong Tan, Jennifer Wortman
Privacy-Preserving Belief Propagation and Sampling. NIPS (2007)
Eyal Even-Dar, Michael J. Kearns, Jennifer Wortman
Sponsored Search with Contexts. WINE (2007)
John Blitzer, Koby Crammer, Alex Kulesza, Fernando Pereira, Jennifer Wortman
Learning Bounds for Domain Adaptation. NIPS (2007)
Koby Crammer, Michael J. Kearns, Jennifer Wortman
Learning from Multiple Sources. NIPS (2006)
Eyal Even-Dar, Michael J. Kearns, Jennifer Wortman
Risk-Sensitive Online Learning. ALT (2006)
Koby Crammer, Michael J. Kearns, Jennifer Wortman
Learning from Data of Variable Quality. NIPS (2005)
Eugene Nudelman, Jennifer Wortman, Yoav Shoham, Kevin Leyton-Brown
Run the GAMUT: A Comprehensive Approach to Evaluating Game-Theoretic Algorithms. AAMAS (2004)