Jennifer Wortman Vaughan

According to our database1, Jennifer Wortman Vaughan authored at least 56 papers between 2004 and 2019.

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Bibliography

2019
Using Search Queries to Understand Health Information Needs in Africa.
Proceedings of the Thirteenth International Conference on Web and Social Media, 2019

The Disparate Effects of Strategic Manipulation.
Proceedings of the Conference on Fairness, Accountability, and Transparency, 2019

Truthful Aggregation of Budget Proposals.
Proceedings of the 2019 ACM Conference on Economics and Computation, 2019

Understanding the Effect of Accuracy on Trust in Machine Learning Models.
Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems, 2019

Improving Fairness in Machine Learning Systems: What Do Industry Practitioners Need?
Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems, 2019

2018
The Externalities of Exploration and How Data Diversity Helps Exploitation.
Proceedings of the Conference On Learning Theory, 2018

Incentive-Compatible Forecasting Competitions.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Making Better Use of the Crowd: How Crowdsourcing Can Advance Machine Learning Research.
Journal of Machine Learning Research, 2017

Incentives and the crowd.
ACM Crossroads, 2017

The Double Clinching Auction for Wagering.
Proceedings of the 2017 ACM Conference on Economics and Computation, 2017

A Decomposition of Forecast Error in Prediction Markets.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Oracle-Efficient Online Learning and Auction Design.
Proceedings of the 58th IEEE Annual Symposium on Foundations of Computer Science, 2017

Tutorial: Making Better Use of the Crowd.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2016
Mathematical foundations for social computing.
Commun. ACM, 2016

The Communication Network Within the Crowd.
Proceedings of the 25th International Conference on World Wide Web, 2016

Bounded Rationality in Wagering Mechanisms.
Proceedings of the Thirty-Second Conference on Uncertainty in Artificial Intelligence, 2016

The Possibilities and Limitations of Private Prediction Markets.
Proceedings of the 2016 ACM Conference on Economics and Computation, 2016

2015
An axiomatic characterization of wagering mechanisms.
J. Economic Theory, 2015

Incentivizing High Quality Crowdwork.
Proceedings of the 24th International Conference on World Wide Web, 2015

Integrating Market Makers, Limit Orders, and Continuous Trade in Prediction Markets.
Proceedings of the Sixteenth ACM Conference on Economics and Computation, 2015

2014
Computational social science and social computing.
Machine Learning, 2014

Market Making with Decreasing Utility for Information.
Proceedings of the Thirtieth Conference on Uncertainty in Artificial Intelligence, 2014

Adaptive contract design for crowdsourcing markets: bandit algorithms for repeated principal-agent problems.
Proceedings of the ACM Conference on Economics and Computation, 2014

Removing arbitrage from wagering mechanisms.
Proceedings of the ACM Conference on Economics and Computation, 2014

A general volume-parameterized market making framework.
Proceedings of the ACM Conference on Economics and Computation, 2014

2013
Efficient Market Making via Convex Optimization, and a Connection to Online Learning.
ACM Trans. Economics and Comput., 2013

Online decision making in crowdsourcing markets: theoretical challenges.
SIGecom Exchanges, 2013

An axiomatic characterization of adaptive-liquidity market makers.
Proceedings of the fourteenth ACM Conference on Electronic Commerce, 2013

Cost function market makers for measurable spaces.
Proceedings of the fourteenth ACM Conference on Electronic Commerce, 2013

Adaptive Task Assignment for Crowdsourced Classification.
Proceedings of the 30th International Conference on Machine Learning, 2013

2012
Designing Informative Securities.
Proceedings of the Twenty-Eighth Conference on Uncertainty in Artificial Intelligence, 2012

Towards Social Norm Design for Crowdsourcing Markets.
Proceedings of the 4th Human Computation Workshop, 2012

Online Task Assignment in Crowdsourcing Markets.
Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

2011
An optimization-based framework for automated market-making.
Proceedings of the Proceedings 12th ACM Conference on Electronic Commerce (EC-2011), 2011

2010
Connections between markets and learning.
SIGecom Exchanges, 2010

A theory of learning from different domains.
Machine Learning, 2010

Censored exploration and the dark pool problem.
Commun. ACM, 2010

Maintaining Equilibria During Exploration in Sponsored Search Auctions.
Algorithmica, 2010

A new understanding of prediction markets via no-regret learning.
Proceedings of the Proceedings 11th ACM Conference on Electronic Commerce (EC-2010), 2010

Evolution with Drifting Targets.
Proceedings of the COLT 2010, 2010

Regret Minimization With Concept Drift.
Proceedings of the COLT 2010, 2010

2009
Censored Exploration and the Dark Pool Problem.
Proceedings of the UAI 2009, 2009

2008
Self-financed wagering mechanisms for forecasting.
Proceedings of the Proceedings 9th ACM Conference on Electronic Commerce (EC-2008), 2008

Complexity of combinatorial market makers.
Proceedings of the Proceedings 9th ACM Conference on Electronic Commerce (EC-2008), 2008

Exploration scavenging.
Proceedings of the Machine Learning, 2008

Learning from Collective Behavior.
Proceedings of the 21st Annual Conference on Learning Theory, 2008

The True Sample Complexity of Active Learning.
Proceedings of the 21st Annual Conference on Learning Theory, 2008

2007
Maintaining Equilibria During Exploration in Sponsored Search Auctions.
Proceedings of the Internet and Network Economics, Third International Workshop, 2007

Sponsored Search with Contexts.
Proceedings of the Internet and Network Economics, Third International Workshop, 2007

Privacy-Preserving Belief Propagation and Sampling.
Proceedings of the Advances in Neural Information Processing Systems 20, 2007

Learning Bounds for Domain Adaptation.
Proceedings of the Advances in Neural Information Processing Systems 20, 2007

Regret to the Best vs. Regret to the Average.
Proceedings of the Learning Theory, 20th Annual Conference on Learning Theory, 2007

2006
Learning from Multiple Sources.
Proceedings of the Advances in Neural Information Processing Systems 19, 2006

Risk-Sensitive Online Learning.
Proceedings of the Algorithmic Learning Theory, 17th International Conference, 2006

2005
Learning from Data of Variable Quality.
Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005

2004
Run the GAMUT: A Comprehensive Approach to Evaluating Game-Theoretic Algorithms.
Proceedings of the 3rd International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2004), 2004


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