Chen, Yiling

36 publications

ICLR 2025 Generalized Principal-Agent Problem with a Learning Agent Tao Lin, Yiling Chen
ICLR 2025 Strategic Classification with Externalities Safwan Hossain, Evi Micha, Yiling Chen, Ariel D. Procaccia
NeurIPS 2025 Strategic Hypothesis Testing Yatong Chen, Safwan Hossain, Yiling Chen
ICML 2024 A Persuasive Approach to Combating Misinformation Safwan Hossain, Andjela Mladenovic, Yiling Chen, Gauthier Gidel
NeurIPS 2024 Bias Detection via Signaling Yiling Chen, Tao Lin, Ariel D. Procaccia, Aaditya Ramdas, Itai Shapira
NeurIPS 2024 Carrot and Stick: Eliciting Comparison Data and Beyond Yiling Chen, Shi Feng, Fang-Yi Yu
ICML 2024 Equilibrium of Data Markets with Externality Safwan Hossain, Yiling Chen
ICML 2024 Multi-Sender Persuasion: A Computational Perspective Safwan Hossain, Tonghan Wang, Tao Lin, Yiling Chen, David C. Parkes, Haifeng Xu
ICML 2024 Position: Social Environment Design Should Be Further Developed for AI-Based Policy-Making Edwin Zhang, Sadie Zhao, Tonghan Wang, Safwan Hossain, Henry Gasztowtt, Stephan Zheng, David C. Parkes, Milind Tambe, Yiling Chen
NeurIPS 2024 User-Creator Feature Polarization in Recommender Systems with Dual Influence Tao Lin, Kun Jin, Andrew Estornell, Xiaoying Zhang, Yiling Chen, Yang Liu
IJCAI 2023 Learning When to Advise Human Decision Makers Gali Noti, Yiling Chen
NeurIPS 2023 Sample Complexity of Forecast Aggregation Tao Lin, Yiling Chen
AAAI 2023 Thirty-Seventh AAAI Conference on Artificial Intelligence, AAAI 2023, Thirty-Fifth Conference on Innovative Applications of Artificial Intelligence, IAAI 2023, Thirteenth Symposium on Educational Advances in Artificial Intelligence, EAAI 2023, Washington, DC, USA, February 7-14, 2023 Brian Williams, Yiling Chen, Jennifer Neville
NeurIPS 2022 Peer Prediction for Learning Agents Shi Feng, Fang-Yi Yu, Yiling Chen
IJCAI 2021 Cooperation in Threshold Public Projects with Binary Actions Yiling Chen, Biaoshuai Tao, Fang-Yi Yu
AAAI 2020 Algorithm-in-the-Loop Decision Making Ben Green, Yiling Chen
NeurIPS 2020 Learning Strategy-Aware Linear Classifiers Yiling Chen, Yang Liu, Chara Podimata
NeurIPS 2020 Truthful Data Acquisition via Peer Prediction Yiling Chen, Yiheng Shen, Shuran Zheng
AAAI 2019 Randomized Wagering Mechanisms Yiling Chen, Yang Liu, Juntao Wang
UAI 2018 Active Information Acquisition for Linear Optimization Shuran Zheng, Bo Waggoner, Yang Liu, Yiling Chen
AAAI 2017 Sequential Peer Prediction: Learning to Elicit Effort Using Posted Prices Yang Liu, Yiling Chen
NeurIPS 2016 A Bandit Framework for Strategic Regression Yang Liu, Yiling Chen
NeurIPS 2016 Eliciting Categorical Data for Optimal Aggregation Chien-Ju Ho, Rafael Frongillo, Yiling Chen
IJCAI 2016 Learning to Incentivize: Eliciting Effort via Output Agreement Yang Liu, Yiling Chen
IJCAI 2015 Bonus or Not? Learn to Reward in Crowdsourcing Ming Yin, Yiling Chen
AAAI 2015 Elicitation for Aggregation Rafael M. Frongillo, Yiling Chen, Ian A. Kash
AAAI 2015 Fair Information Sharing for Treasure Hunting Yiling Chen, Kobbi Nissim, Bo Waggoner
AAAI 2014 The Fisher Market Game: Equilibrium and Welfare Simina Brânzei, Yiling Chen, Xiaotie Deng, Aris Filos-Ratsikas, Søren Kristoffer Stiil Frederiksen, Jie Zhang
AAAI 2013 Better Human Computation Through Principled Voting Andrew Mao, Ariel D. Procaccia, Yiling Chen
AAAI 2013 The Effects of Performance-Contingent Financial Incentives in Online Labor Markets Ming Yin, Yiling Chen, Yuan Sun
AAAI 2012 Adaptive Polling for Information Aggregation Thomas Pfeiffer, Xi Alice Gao, Yiling Chen, Andrew Mao, David G. Rand
UAI 2012 Designing Informative Securities Yiling Chen, Mike Ruberry, Jennifer Wortman Vaughan
AAAI 2011 Market Manipulation with Outside Incentives Yiling Chen, Xi Alice Gao, Rick Goldstein, Ian A. Kash
AAAI 2010 Truth, Justice, and Cake Cutting Yiling Chen, John K. Lai, David C. Parkes, Ariel D. Procaccia
IJCAI 2009 A General Approach to Environment Design with One Agent Haoqi Zhang, Yiling Chen, David C. Parkes
UAI 2007 A Utility Framework for Bounded-Loss Market Makers Yiling Chen, David M. Pennock