Yiling Chen

ORCID

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 65

Top Venues

CoRR

AAAI

ACM Trans. Economics and Comput.

Publications

Tao Lin, Kun Jin, Andrew Estornell, Xiaoying Zhang, Yiling Chen, Yang Liu
User-Creator Feature Dynamics in Recommender Systems with Dual Influence. CoRR (2024)
Safwan Hossain, Andjela Mladenovic, Yiling Chen, Gauthier Gidel
A Persuasive Approach to Combating Misinformation. CoRR (2023)
Gali Noti, Yiling Chen
Learning When to Advise Human Decision Makers. IJCAI (2023)
Shi Feng, Fang-Yi Yu, Yiling Chen
Peer Prediction for Learning Agents. NeurIPS (2022)
Shi Feng, Fang-Yi Yu, Yiling Chen
Peer Prediction for Learning Agents. CoRR (2022)
Juntao Wang, Jonathan Lei, Anna Dreber, Michael Gordon, Magnus Johannesson, Thomas Pfeiffer, Yiling Chen
Can laypeople predict the replicability of social science studies without expert intervention: an exploratory study. CoRR (2022)
Shuran Zheng, Fang-Yi Yu, Yiling Chen
The Limits of Multi-task Peer Prediction. EC (2021)
Shuran Zheng, Fang-Yi Yu, Yiling Chen
The Limits of Multi-task Peer Prediction. CoRR (2021)
Juntao Wang, Yang Liu, Yiling Chen
Forecast Aggregation via Peer Prediction. HCOMP (2021)
Yiling Chen, Biaoshuai Tao, Fang-Yi Yu
Cooperation in Threshold Public Projects with Binary Actions. CoRR (2021)
Ben Green, Yiling Chen
Algorithmic Risk Assessments Can Alter Human Decision-Making Processes in High-Stakes Government Contexts. Proc. ACM Hum. Comput. Interact. 5 (CSCW2) (2021)
Yiling Chen, Biaoshuai Tao, Fang-Yi Yu
Cooperation in Threshold Public Projects with Binary Actions. IJCAI (2021)
Yiling Chen, Fang-Yi Yu
Optimal Scoring Rule Design. CoRR (2021)
Xiang Yan, Yiling Chen
Optimal Crowdfunding Design. AAMAS (2021)
Shuran Zheng, Yiling Chen
Optimal Advertising for Information Products. EC (2021)
Jerry Anunrojwong, Yiling Chen, Bo Waggoner, Haifeng Xu
Computing Equilibria of Prediction Markets via Persuasion. CoRR (2020)
Yang Liu, Juntao Wang, Yiling Chen
Surrogate Scoring Rules. EC (2020)
Yiling Chen, Arpita Ghosh, Michael Kearns, Tim Roughgarden, Jennifer Wortman Vaughan
Mathematical Foundations for Social Computing. CoRR (2020)
Ben Green, Yiling Chen
Algorithm-in-the-Loop Decision Making. AAAI (2020)
Yiling Chen, Yiheng Shen, Shuran Zheng
Truthful Data Acquisition via Peer Prediction. NeurIPS (2020)
Shuran Zheng, Yiling Chen
Optimal Advertising for Information Products. CoRR (2020)
Yiling Chen, Or Sheffet, Salil P. Vadhan
Privacy Games. ACM Trans. Economics and Comput. 8 (2) (2020)
Yiling Chen, Yang Liu, Chara Podimata
Learning Strategy-Aware Linear Classifiers. NeurIPS (2020)
Yang Liu, Michael Gordon, Juntao Wang, Michael Bishop, Yiling Chen, Thomas Pfeiffer, Charles Twardy, Domenico Viganola
Replication Markets: Results, Lessons, Challenges and Opportunities in AI Replication. CoRR (2020)
Lily Hu, Yiling Chen
Fair classification and social welfare. FAT* (2020)
Yiling Chen, Yiheng Shen, Shuran Zheng
Truthful Data Acquisition via Peer Prediction. CoRR (2020)
Ben Green, Yiling Chen
Algorithmic risk assessments can alter human decision-making processes in high-stakes government contexts. CoRR (2020)
Yiling Chen, Haifeng Xu, Shuran Zheng
Selling Information Through Consulting. SODA (2020)
Jerry Anunrojwong, Yiling Chen, Bo Waggoner, Haifeng Xu
Computing Equilibria of Prediction Markets via Persuasion. WINE (2019)
Yiling Chen, Haifeng Xu, Shuran Zheng
Selling Information Through Consulting. CoRR (2019)
Yiling Chen, Yang Liu, Juntao Wang
Randomized Wagering Mechanisms. AAAI (2019)
Lily Hu, Yiling Chen
Fair Classification and Social Welfare. CoRR (2019)
Ben Green, Yiling Chen
The Principles and Limits of Algorithm-in-the-Loop Decision Making. Proc. ACM Hum. Comput. Interact. 3 (CSCW) (2019)
Yiling Chen, Dirk Bergemann
Introduction to the Special Issue on EC'16. ACM Trans. Economics and Comput. 7 (3) (2019)
Yiling Chen, Yang Liu, Chara Podimata
Grinding the Space: Learning to Classify Against Strategic Agents. CoRR (2019)
Ben Green, Yiling Chen
Disparate Interactions: An Algorithm-in-the-Loop Analysis of Fairness in Risk Assessments. FAT (2019)
Yiling Chen, Shuran Zheng
Prior-free Data Acquisition for Accurate Statistical Estimation. EC (2019)
Yiling Chen, Chara Podimata, Ariel D. Procaccia, Nisarg Shah
Strategyproof linear regression in high dimensions: an overview. SIGecom Exch. 17 (1) (2018)
Yiling Chen, Shuran Zheng
Prior-free Data Acquisition for Accurate Statistical Estimation. CoRR (2018)
Shuran Zheng, Bo Waggoner, Yang Liu, Yiling Chen
Active Information Acquisition for Linear Optimization. UAI (2018)
Lily Hu, Yiling Chen
A Short-term Intervention for Long-term Fairness in the Labor Market. WWW (2018)
Lily Hu, Yiling Chen
Welfare and Distributional Impacts of Fair Classification. CoRR (2018)
Yiling Chen, Chara Podimata, Ariel D. Procaccia, Nisarg Shah
Strategyproof Linear Regression in High Dimensions. CoRR (2018)
Yiling Chen, Nicole Immorlica, Brendan Lucier, Vasilis Syrgkanis, Juba Ziani
Optimal Data Acquisition for Statistical Estimation. EC (2018)
Yang Liu, Yiling Chen
Surrogate Scoring Rules and a Dominant Truth Serum for Information Elicitation. CoRR (2018)
Yiling Chen, Chara Podimata, Ariel D. Procaccia, Nisarg Shah
Strategyproof Linear Regression in High Dimensions. EC (2018)
Yiling Chen, Yang Liu, Juntao Wang
Randomized Wagering Mechanisms. CoRR (2018)
Yiling Chen, Bo Waggoner
Intro to informational substitutes. SIGecom Exch. 16 (1) (2017)
Lily Hu, Yiling Chen
Fairness at Equilibrium in the Labor Market. CoRR (2017)
Lily Hu, Yiling Chen
A Short-term Intervention for Long-term Fairness in the Labor Market. CoRR (2017)
Yang Liu, Yiling Chen
Machine-Learning Aided Peer Prediction. EC (2017)
Yang Liu, Yiling Chen
Sequential Peer Prediction: Learning to Elicit Effort using Posted Prices. AAAI (2017)
Yiling Chen, Bo Waggoner
Informational Substitutes. CoRR (2017)
Yiling Chen, Nicole Immorlica, Brendan Lucier, Vasilis Syrgkanis, Juba Ziani
Optimal Data Acquisition for Statistical Estimation. CoRR (2017)
Shuran Zheng, Bo Waggoner, Yang Liu, Yiling Chen
Active Information Acquisition for Linear Optimization. CoRR (2017)
Yang Liu, Yiling Chen
Learning to Incentivize: Eliciting Effort via Output Agreement. IJCAI (2016)
Yiling Chen, Bo Waggoner
Informational Substitutes. FOCS (2016)
Yiling Chen, Stephen Chong, Ian A. Kash, Tal Moran, Salil P. Vadhan
Truthful Mechanisms for Agents That Value Privacy. ACM Trans. Economics and Comput. 4 (3) (2016)
Yiling Chen
Keynote Speaker Bio. WSDM (2016)
Yang Liu, Yiling Chen
Learning to Incentivize: Eliciting Effort via Output Agreement. CoRR (2016)
Ming Yin, Yiling Chen
Predicting Crowd Work Quality under Monetary Interventions. HCOMP (2016)
Yiling Chen, Arpita Ghosh, Michael J. Kearns, Tim Roughgarden, Jennifer Wortman Vaughan
Mathematical foundations for social computing. Commun. ACM 59 (12) (2016)
Chien-Ju Ho, Rafael M. Frongillo, Yiling Chen
Eliciting Categorical Data for Optimal Aggregation. NIPS (2016)
Yang Liu, Yiling Chen
Sequential Peer Prediction: Learning to Elicit Effort using Posted Prices. CoRR (2016)
Yang Liu, Yiling Chen
A Bandit Framework for Strategic Regression. NIPS (2016)
Yiling Chen, Xi Alice Gao, Rick Goldstein, Ian A. Kash
Market manipulation with outside incentives. Auton. Agents Multi Agent Syst. 29 (2) (2015)
Nicolas S. Lambert, John Langford, Jennifer Wortman Vaughan, Yiling Chen, Daniel M. Reeves, Yoav Shoham, David M. Pennock
An axiomatic characterization of wagering mechanisms. J. Econ. Theory 156 (2015)
Yiling Chen, Kobbi Nissim, Bo Waggoner
Fair Information Sharing for Treasure Hunting. AAAI (2015)
Jacob D. Abernethy, Yiling Chen, Chien-Ju Ho, Bo Waggoner
Low-Cost Learning via Active Data Procurement. EC (2015)
Yiling Chen, Nicole Immorlica
Introduction to the Special Issue on WINE'13. ACM Trans. Economics and Comput. 3 (4) (2015)
Rafael M. Frongillo, Yiling Chen, Ian A. Kash
Elicitation for Aggregation. AAAI (2015)
Jacob D. Abernethy, Yiling Chen, Chien-Ju Ho, Bo Waggoner
Actively Purchasing Data for Learning. CoRR (2015)
Bo Waggoner, Yiling Chen
Output Agreement Mechanisms and Common Knowledge. HCOMP (2014)
Yiling Chen, Or Sheffet, Salil P. Vadhan
Privacy Games. WINE (2014)
Yiling Chen, Nikhil R. Devanur, David M. Pennock, Jennifer Wortman Vaughan
Removing arbitrage from wagering mechanisms. EC (2014)
Yiling Chen, Ian A. Kash, Michael Ruberry, Victor Shnayder
Eliciting Predictions and Recommendations for Decision Making. ACM Trans. Economics and Comput. 2 (2) (2014)
Simina Brânzei, Yiling Chen, Xiaotie Deng, Aris Filos-Ratsikas, Søren Kristoffer Stiil Frederiksen, Jie Zhang
The Fisher Market Game: Equilibrium and Welfare. AAAI (2014)
Peter Zhang, Yiling Chen
Elicitability and knowledge-free elicitation with peer prediction. AAMAS (2014)
Xi Alice Gao, Andrew Mao, Yiling Chen, Ryan Prescott Adams
Trick or treat: putting peer prediction to the test. EC (2014)
Shaili Jain, Yiling Chen, David C. Parkes
Designing incentives for online question-and-answer forums. Games Econ. Behav. 86 (2014)
Yiling Chen, Or Sheffet, Salil P. Vadhan
Privacy Games. CoRR (2014)
Rafael M. Frongillo, Yiling Chen, Ian A. Kash
Elicitation for Aggregation. CoRR (2014)
Ming Yin, Yiling Chen, Yu-An Sun
Monetary Interventions in Crowdsourcing Task Switching. HCOMP (2014)
Andrew Mao, Ece Kamar, Yiling Chen, Eric Horvitz, Megan E. Schwamb, Chris J. Lintott, Arfon M. Smith
Volunteering Versus Work for Pay: Incentives and Tradeoffs in Crowdsourcing. HCOMP (2013)
Andrew Mao, Hossein Azari Soufiani, Yiling Chen, David C. Parkes
Capturing Cognitive Aspects of Human Judgment. CoRR (2013)
Yiling Chen, Mike Ruberry, Jennifer Wortman Vaughan
Cost function market makers for measurable spaces. EC (2013)
Ming Yin, Yiling Chen, Yu-An Sun
The Effects of Performance-Contingent Financial Incentives in Online Labor Markets. AAAI (2013)
Yiling Chen, Stephen Chong, Ian A. Kash, Tal Moran, Salil P. Vadhan
Truthful mechanisms for agents that value privacy. EC (2013)
Andrew Mao, Ariel D. Procaccia, Yiling Chen
Better Human Computation Through Principled Voting. AAAI (2013)
Reshef Meir, Yiling Chen, Michal Feldman
Efficient parking allocation as online bipartite matching with posted prices. AAMAS (2013)
Yiling Chen, John K. Lai, David C. Parkes, Ariel D. Procaccia
Truth, justice, and cake cutting. Games Econ. Behav. 77 (1) (2013)
Jacob D. Abernethy, Yiling Chen, Jennifer Wortman Vaughan
Efficient Market Making via Convex Optimization, and a Connection to Online Learning. ACM Trans. Economics and Comput. 1 (2) (2013)
Xi Alice Gao, Jie Zhang, Yiling Chen
What you jointly know determines how you act: strategic interactions in prediction markets. EC (2013)
Ming Yin, Yiling Chen, Yu-An Sun
Task Sequence Design: Evidence on Price and Difficulty. HCOMP (Works in Progress / Demos) (2013)
Yiling Chen, David M. Pennock
A Utility Framework for Bounded-Loss Market Makers CoRR (2012)
Haoqi Zhang, Eric Horvitz, Yiling Chen, David C. Parkes
Task routing for prediction tasks. AAMAS (2012)
Andrew Mao, Ariel D. Procaccia, Yiling Chen
Social Choice for Human Computation. HCOMP@AAAI (2012)
Yiling Chen, Mike Ruberry, Jennifer Wortman Vaughan
Designing Informative Securities CoRR (2012)
Yiling Chen, Mike Ruberry, Jennifer Wortman Vaughan
Designing Informative Securities. UAI (2012)
Andrew Mao, Yiling Chen, Krzysztof Z. Gajos, David C. Parkes, Ariel D. Procaccia, Haoqi Zhang
TurkServer: Enabling Synchronous and Longitudinal Online Experiments. HCOMP@AAAI (2012)

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Publication Activity (10 Years)

Top Topics

Top Venues

Yiling Chen