My name is Jenn Wortman.

I am a Ph.D. student in the Computer and Information Science department at the University of Pennsylvania. My advisor is Michael Kearns.

Before coming to Penn, I completed a Masters at Stanford where I was a member of the Multiagent Group. Further back in the day, I was a carefree undergrad at BU. I miss the weather in California, and everything but the weather in Boston.

During the summer of 2007 I was an intern at Yahoo! Research in New York, working with both the Machine Learning and Microeconomics groups. I'm back in New York this summer visiting Google.

I recently got engaged! Jeff is a grad student at Penn too.

For anything else, check out my CV.

Journal Articles

Regret to the Best Vs. Regret to the Average
Eyal Even-Dar, Michael Kearns, Yishay Mansour, and Jennifer Wortman
Machine Learning Journal (Special issue on COLT 2007), Volume 72, Numbers 1-2, Pages 21-37, 2008
Learning from Multiple Sources (PDF)
Koby Crammer, Michael Kearns, and Jennifer Wortman
Journal of Machine Learning Research, Volume 9, Pages 1757-1774, 2008

Conference Publications

Learning from Collective Behavior (PDF, PS)
Michael Kearns and Jennifer Wortman
In the 21st Annual Conference on Learning Theory (COLT 2008)
The True Sample Complexity of Active Learning (PDF, PS)
Maria-Florina Balcan, Steve Hanneke, and Jennifer Wortman
In the 21st Annual Conference on Learning Theory (COLT 2008)
Winner of the Mark Fulk Best Student Paper Award at COLT
A preliminary version appeared in the NIPS 2007 Workshop on Principles of Learning Problem Design
Complexity of Combinatorial Market Makers (PDF, PS)
Yiling Chen, Lance Fortnow, Nicolas Lambert, David Pennock, and Jennifer Wortman
In the Ninth ACM Conference on Electronic Commerce (EC 2008)
Self-Financed Wagering Mechanisms for Forecasting (PDF, PS)
Nicolas Lambert, John Langford, Jennifer Wortman, Yiling Chen, Daniel Reeves, Yoav Shoham, and David Pennock
In the Ninth ACM Conference on Electronic Commerce (EC 2008)
Winner of an Outstanding Paper Award at EC
A preliminary version appeared in the DIMACS Workshop on the Boundary Between Economic Theory and CS
Exploration Scavenging (PDF, PS)
John Langford, Alexander Strehl, and Jennifer Wortman
In the 25th International Conference on Machine Learning (ICML 2008)
Privacy-Preserving Belief Propagation and Sampling (PDF, PS)
Michael Kearns, Jinsong Tan, and Jennifer Wortman
In Advances in Neural Information Processing Systems 20 (NIPS 2007)
Winner of the Best Student Paper Award at the New York Academy of Sciences 2007 Symposium on ML
Learning Bounds for Domain Adaptation (PDF, PS)
John Blitzer, Koby Crammer, Alex Kulesza, Fernando Pereira, and Jennifer Wortman
In Advances in Neural Information Processing Systems 20 (NIPS 2007)
Maintaining Equilibria During Exploration in Sponsored Search Auctions (PDF, PS)
Jennifer Wortman, Yevgeniy Vorobeychik, Lihong Li, and John Langford
In the 3rd International Workshop on Internet and Network Economics (WINE 2007)
Sponsored Search with Contexts (PDF, PS)
Eyal Even-Dar, Michael Kearns, and Jennifer Wortman
In the 3rd International Workshop on Internet and Network Economics (WINE 2007)
This longer version appeared in the WWW 2007 Third Workshop on Sponsored Search Auctions
Regret to the Best Vs. Regret to the Average (PDF, PS)
Eyal Even-Dar, Michael Kearns, Yishay Mansour, and Jennifer Wortman
In the 20th Annual Conference on Learning Theory (COLT 2007)
Winner of a MLJ Best Student Paper Award at COLT
A preliminary version appeared in the NIPS 2006 Workshop on Online Trading of Exploration and Exploitation
Learning from Multiple Sources (PDF, PS)
Koby Crammer, Michael Kearns, and Jennifer Wortman
In Advances in Neural Information Processing Systems 19 (NIPS 2006)
Risk-Sensitive Online Learning (Corrected version, October 2006: PDF, PS)
Eyal Even-Dar, Michael Kearns, and Jennifer Wortman
In the 17th International Conference on Algorithmic Learning Theory (ALT 2006)
Learning from Data of Variable Quality (PDF, PS)
Koby Crammer, Michael Kearns, and Jennifer Wortman
In Advances in Neural Information Processing Systems 18 (NIPS 2005)
Run the GAMUT: A Comprehensive Approach to Evaluating Game-Theoretic Algorithms (PDF, PS)
Eugene Nudelman, Jennifer Wortman, Yoav Shoham, and Kevin Leyton-Brown
In the 3rd International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS 2004)
Short versions appeared at the Second World Congress of the Game Theory Society (Games 2004) and the 15th Annual Conference on Game Theory (Stony Brook 2004)
Download GAMUT here

Miscellanea

Network-Faithful Secure Computation (Working draft, Updated February 2008: PDF, PS)
Michael Kearns, Jinsong Tan, and Jennifer Wortman
Working paper
Viral Marketing and the Diffusion of Trends on Social Networks (PDF, PS)
Jennifer Wortman
University of Pennsylvania Technical Report MS-CIS-08-19, May 2008
In fulfillment of the Department of Computer and Information Science Written Preliminary Exam II

Teaching Experience

CIS 520, Artificial Intelligence and Machine Learning (Teaching Assistant, Fall 2005)

CSE 112, Networked Life (Teaching Assistant, Spring 2006)

Other Activities

I was the 2006-2007 graduate representative for the CIS department.

I co-organized the first Workshop for Women in Machine Learning which was held in San Diego in October 2006. The main website for the workshop series is now here.

I organized Penn's machine learning lunch for the 2006-2007 academic year. The current schedule is here.

From Spring 2005 through Spring 2008, I organized CISters, Penn's group for female grad students, postdocs, and faculty in computer and information science. I've met some fantastic people through this group.

Contact

Office: Levine 513
Electronic: wortmanj [at] seas.upenn.edu