Yiling Chen

Orcid: 0000-0002-0166-594X

Affiliations:
  • Harvard University, School of Engineering and Applied Sciences, Cambridge, MA, USA
  • Yahoo! Research, New York City, NY, USA
  • Pennsylvania State University, College of Information Sciences and Technology, University Park, PA, USA (PhD 2005)


According to our database1, Yiling Chen authored at least 122 papers between 2005 and 2024.

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Bibliography

2024
Strategic Classification With Externalities.
CoRR, 2024

User-Creator Feature Dynamics in Recommender Systems with Dual Influence.
CoRR, 2024

Bias Detection Via Signaling.
CoRR, 2024

Social Environment Design.
CoRR, 2024

Position: Social Environment Design Should be Further Developed for AI-based Policy-Making.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

A Persuasive Approach to Combating Misinformation.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Equilibrium of Data Markets with Externality.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Multi-Sender Persuasion: A Computational Perspective.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023
Self-Resolving Prediction Markets for Unverifiable Outcomes.
CoRR, 2023

Equilibrium and Learning in Fixed-Price Data Markets with Externality.
CoRR, 2023

Persuading a Behavioral Agent: Approximately Best Responding and Learning.
CoRR, 2023

Learning When to Advise Human Decision Makers.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

2022
Surrogate Scoring Rules.
ACM Trans. Economics and Comput., September, 2022

Can laypeople predict the replicability of social science studies without expert intervention: an exploratory study.
CoRR, 2022

The Sample Complexity of Forecast Aggregation.
CoRR, 2022

Peer Prediction for Learning Agents.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Cursed yet Satisfied Agents.
Proceedings of the 13th Innovations in Theoretical Computer Science Conference, 2022

2021
Algorithmic Risk Assessments Can Alter Human Decision-Making Processes in High-Stakes Government Contexts.
Proc. ACM Hum. Comput. Interact., 2021

Optimal Scoring Rule Design.
CoRR, 2021

The Limits of Multi-task Peer Prediction.
Proceedings of the EC '21: The 22nd ACM Conference on Economics and Computation, 2021

Optimal Advertising for Information Products.
Proceedings of the EC '21: The 22nd ACM Conference on Economics and Computation, 2021

Cooperation in Threshold Public Projects with Binary Actions.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Forecast Aggregation via Peer Prediction.
Proceedings of the Ninth AAAI Conference on Human Computation and Crowdsourcing, 2021

Optimal Crowdfunding Design.
Proceedings of the AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, 2021

2020
Privacy Games.
ACM Trans. Economics and Comput., 2020

Modernizing Data Control: Making Personal Digital Data Mutually Beneficial for Citizens and Industry.
CoRR, 2020

Truthful Data Acquisition via Peer Prediction.
CoRR, 2020

Replication Markets: Results, Lessons, Challenges and Opportunities in AI Replication.
CoRR, 2020

Strategyproof Facility Location Mechanisms with Richer Action Spaces.
CoRR, 2020

Selling Information Through Consulting.
Proceedings of the 2020 ACM-SIAM Symposium on Discrete Algorithms, 2020

Truthful Data Acquisition via Peer Prediction.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Learning Strategy-Aware Linear Classifiers.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Fair classification and social welfare.
Proceedings of the FAT* '20: Conference on Fairness, 2020

Algorithm-in-the-Loop Decision Making.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Introduction to the Special Issue on EC'16.
ACM Trans. Economics and Comput., 2019

The Principles and Limits of Algorithm-in-the-Loop Decision Making.
Proc. ACM Hum. Comput. Interact., 2019

Grinding the Space: Learning to Classify Against Strategic Agents.
CoRR, 2019

Computing Equilibria of Prediction Markets via Persuasion.
Proceedings of the Web and Internet Economics - 15th International Conference, 2019

Disparate Interactions: An Algorithm-in-the-Loop Analysis of Fairness in Risk Assessments.
Proceedings of the Conference on Fairness, Accountability, and Transparency, 2019

Prior-free Data Acquisition for Accurate Statistical Estimation.
Proceedings of the 2019 ACM Conference on Economics and Computation, 2019

Randomized Wagering Mechanisms.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Strategyproof linear regression in high dimensions: an overview.
SIGecom Exch., 2018

Welfare and Distributional Impacts of Fair Classification.
CoRR, 2018

Surrogate Scoring Rules and a Dominant Truth Serum for Information Elicitation.
CoRR, 2018

Report on the Sixth AAAI Conference on Human Computation and Crowdsourcing (HCOMP 2018).
AI Mag., 2018

A Short-term Intervention for Long-term Fairness in the Labor Market.
Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

Active Information Acquisition for Linear Optimization.
Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, 2018

Strategyproof Linear Regression in High Dimensions.
Proceedings of the 2018 ACM Conference on Economics and Computation, 2018

Optimal Data Acquisition for Statistical Estimation.
Proceedings of the 2018 ACM Conference on Economics and Computation, 2018

2017
Intro to informational substitutes.
SIGecom Exch., 2017

Fairness at Equilibrium in the Labor Market.
CoRR, 2017

Machine-Learning Aided Peer Prediction.
Proceedings of the 2017 ACM Conference on Economics and Computation, 2017

Sequential Peer Prediction: Learning to Elicit Effort using Posted Prices.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Truthful Mechanisms for Agents That Value Privacy.
ACM Trans. Economics and Comput., 2016

Mathematical foundations for social computing.
Commun. ACM, 2016

Keynote Speaker Bio.
Proceedings of the Ninth ACM International Conference on Web Search and Data Mining, 2016

A Bandit Framework for Strategic Regression.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Eliciting Categorical Data for Optimal Aggregation.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Learning to Incentivize: Eliciting Effort via Output Agreement.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Predicting Crowd Work Quality under Monetary Interventions.
Proceedings of the Fourth AAAI Conference on Human Computation and Crowdsourcing, 2016

Informational Substitutes.
Proceedings of the IEEE 57th Annual Symposium on Foundations of Computer Science, 2016

2015
Introduction to the Special Issue on WINE'13.
ACM Trans. Economics and Comput., 2015

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

Actively Purchasing Data for Learning.
CoRR, 2015

Market manipulation with outside incentives.
Auton. Agents Multi Agent Syst., 2015

Low-Cost Learning via Active Data Procurement.
Proceedings of the Sixteenth ACM Conference on Economics and Computation, 2015

Bonus or Not? Learn to Reward in Crowdsourcing.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Elicitation for Aggregation.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

Fair Information Sharing for Treasure Hunting.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
Eliciting Predictions and Recommendations for Decision Making.
ACM Trans. Economics and Comput., 2014

Designing incentives for online question-and-answer forums.
Games Econ. Behav., 2014

Trick or treat: putting peer prediction to the test.
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

Monetary Interventions in Crowdsourcing Task Switching.
Proceedings of the Seconf AAAI Conference on Human Computation and Crowdsourcing, 2014

Output Agreement Mechanisms and Common Knowledge.
Proceedings of the Seconf AAAI Conference on Human Computation and Crowdsourcing, 2014

Elicitability and knowledge-free elicitation with peer prediction.
Proceedings of the International conference on Autonomous Agents and Multi-Agent Systems, 2014

The Fisher Market Game: Equilibrium and Welfare.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

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

Truth, justice, and cake cutting.
Games Econ. Behav., 2013

Capturing Cognitive Aspects of Human Judgment.
CoRR, 2013

What you jointly know determines how you act: strategic interactions in prediction markets.
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

Task Sequence Design: Evidence on Price and Difficulty.
Proceedings of the Human Computation and Crowdsourcing: Works in Progress and Demonstration Abstracts, 2013

Volunteering Versus Work for Pay: Incentives and Tradeoffs in Crowdsourcing.
Proceedings of the First AAAI Conference on Human Computation and Crowdsourcing, 2013

Efficient parking allocation as online bipartite matching with posted prices.
Proceedings of the International conference on Autonomous Agents and Multi-Agent Systems, 2013

The Effects of Performance-Contingent Financial Incentives in Online Labor Markets.
Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013

Better Human Computation Through Principled Voting.
Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013

2012
Reports of the AAAI 2012 Conference Workshops.
AI Mag., 2012

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

Social Choice for Human Computation.
Proceedings of the 4th Human Computation Workshop, 2012

TurkServer: Enabling Synchronous and Longitudinal Online Experiments.
Proceedings of the 4th Human Computation Workshop, 2012

Task routing for prediction tasks.
Proceedings of the International Conference on Autonomous Agents and Multiagent Systems, 2012

Predicting your own effort.
Proceedings of the International Conference on Autonomous Agents and Multiagent Systems, 2012

Adaptive Polling for Information Aggregation.
Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

2011
Decision Markets with Good Incentives.
Proceedings of the Internet and Network Economics - 7th International Workshop, 2011

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

Incentive design for adaptive agents.
Proceedings of the 10th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2011), 2011

Information elicitation for decision making.
Proceedings of the 10th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2011), 2011

2010
Connections between markets and learning.
SIGecom Exch., 2010

Gaming Prediction Markets: Equilibrium Strategies with a Market Maker.
Algorithmica, 2010

Designing Markets for Prediction.
AI Mag., 2010

An Axiomatic Characterization of Continuous-Outcome Market Makers.
Proceedings of the Internet and Network Economics - 6th International Workshop, 2010

Software economies.
Proceedings of the Workshop on Future of Software Engineering Research, 2010

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

Toward automatic task design: a progress report.
Proceedings of the ACM SIGKDD Workshop on Human Computation, 2010

2009
Gaming Dynamic Parimutuel Markets.
Proceedings of the Internet and Network Economics, 5th International Workshop, 2009

Betting on the Real Line.
Proceedings of the Internet and Network Economics, 5th International Workshop, 2009

Policy teaching through reward function learning.
Proceedings of the Proceedings 10th ACM Conference on Electronic Commerce (EC-2009), 2009

A market-based approach to software evolution.
Proceedings of the Companion to the 24th Annual ACM SIGPLAN Conference on Object-Oriented Programming, 2009

A General Approach to Environment Design with One Agent.
Proceedings of the IJCAI 2009, 2009

2008
Sharing Online Advertising Revenue with Consumers.
Proceedings of the Internet and Network Economics, 4th International Workshop, 2008

Pricing combinatorial markets for tournaments.
Proceedings of the 40th Annual ACM Symposium on Theory of Computing, 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

2007
Combinatorial betting.
SIGecom Exch., 2007

Bluffing and Strategic Reticence in Prediction Markets.
Proceedings of the Internet and Network Economics, Third International Workshop, 2007

A Utility Framework for Bounded-Loss Market Makers.
Proceedings of the UAI 2007, 2007

Second workshop on prediction markets.
Proceedings of the Proceedings 8th ACM Conference on Electronic Commerce (EC-2007), 2007

Betting on permutations.
Proceedings of the Proceedings 8th ACM Conference on Electronic Commerce (EC-2007), 2007

Prediction markets: economics, computation, and mechanism design.
Proceedings of the Proceedings 8th ACM Conference on Electronic Commerce (EC-2007), 2007

2006
An in-depth analysis of information markets with aggregate uncertainty.
Electron. Commer. Res., 2006

2005
Information markets vs. opinion pools: an empirical comparison.
Proceedings of the Proceedings 6th ACM Conference on Electronic Commerce (EC-2005), 2005


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