Chen, Yiling

35 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

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