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ORCIDYiling Chen 0001
Person information
- affiliation: Harvard University, School of Engineering and Applied Sciences, Cambridge, MA, USA
- affiliation: Yahoo! Research, New York City, NY, USA
- affiliation (PhD 2005): Pennsylvania State University, College of Information Sciences and Technology, University Park, PA, USA
Other persons with the same name
- Yiling Chen (aka: Yi-ling Chen, Yi-Ling Chen) — disambiguation page
- Yi-Ling Chen 0002
![[0000-0002-9191-7169]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-9191-7169")
(aka: Yiling Chen 0002) — National Taiwan University of Science and Technology, Department of Computer Science and Information Engineering, Taipei, Taiwan (and 1 more) - Yi-Ling Chen 0003 (aka: Yiling Chen 0003) — National Taiwan Normal University, Department of Industrial Education, Taipei, Taiwan
- Yi-Ling Chen 0004 (aka: Yiling Chen 0004) — Microsoft Research, Redmond, WA, USA (and 3 more)
- Yi-Ling Chen 0005 (aka: Yiling Chen 0005) — National Chiao Tung University, Institute of Electronics, Taiwan
- Yi-Ling Chen 0006 (aka: Yiling Chen 0006) — National Taiwan University, Intel-NTU CCC Center, Taipei, Taiwan (and 1 more)
- Yi-Ling Chen 0007 (aka: Yiling Chen 0007) — National Taipei University of Technology, Department of Electrical Engineering, Taiwan
- Yi-Ling Chen 0008 (aka: Yiling Chen 0008) — National Taiwan University, Media IC and System Lab, Taipei, Taiwan
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2020 – today
- 2023
[c81]Gali Noti, Yiling Chen:
Learning When to Advise Human Decision Makers. IJCAI 2023: 3038-3048- [e5]Brian Williams, Yiling Chen, Jennifer Neville:
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. AAAI Press 2023, ISBN 978-1-57735-880-0 [contents] - [i46]Yiling Chen, Tao Lin:
Persuading a Behavioral Agent: Approximately Best Responding and Learning. CoRR abs/2302.03719 (2023) - [i45]Yiling Chen, Safwan Hossain:
Equilibrium and Learning in Fixed-Price Data Markets with Externality. CoRR abs/2302.08012 (2023) - [i44]Siddarth Srinivasan, Ezra Karger, Yiling Chen:
Self-Resolving Prediction Markets for Unverifiable Outcomes. CoRR abs/2306.04305 (2023) - [i43]Safwan Hossain, Andjela Mladenovic, Yiling Chen, Gauthier Gidel:
A Persuasive Approach to Combating Misinformation. CoRR abs/2310.12065 (2023) - 2022
- [j23]Yang Liu, Juntao Wang, Yiling Chen:
Surrogate Scoring Rules. ACM Trans. Economics and Comput. 10(3): 12:1-12:36 (2022) - [c80]Yiling Chen, Alon Eden, Juntao Wang:
Cursed yet Satisfied Agents. ITCS 2022: 44:1-44:1 - [c79]Shi Feng, Fang-Yi Yu, Yiling Chen:
Peer Prediction for Learning Agents. NeurIPS 2022 - [i42]Yiling Chen, Tao Lin:
The Sample Complexity of Forecast Aggregation. CoRR abs/2207.13126 (2022) - [i41]Shi Feng, Fang-Yi Yu, Yiling Chen:
Peer Prediction for Learning Agents. CoRR abs/2208.04433 (2022) - [i40]Gali Noti, Yiling Chen:
Learning When to Advise Human Decision Makers. CoRR abs/2209.13578 (2022) - [i39]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 abs/2211.03555 (2022) - 2021
- [j22]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): 418:1-418:33 (2021) - [c78]Xiang Yan, Yiling Chen:
Optimal Crowdfunding Design. AAMAS 2021: 1704-1706 - [c77]Juntao Wang, Yang Liu, Yiling Chen:
Forecast Aggregation via Peer Prediction. HCOMP 2021: 131-142 - [c76]Yiling Chen, Biaoshuai Tao, Fang-Yi Yu:
Cooperation in Threshold Public Projects with Binary Actions. IJCAI 2021: 104-110 - [c75]Shuran Zheng, Yiling Chen:
Optimal Advertising for Information Products. EC 2021: 888-906 - [c74]Shuran Zheng, Fang-Yi Yu, Yiling Chen:
The Limits of Multi-task Peer Prediction. EC 2021: 907-926 - [i38]Yiling Chen, Alon Eden, Juntao Wang:
Cursed yet Satisfied Agents. CoRR abs/2104.00835 (2021) - [i37]Yiling Chen, Biaoshuai Tao, Fang-Yi Yu:
Cooperation in Threshold Public Projects with Binary Actions. CoRR abs/2105.08572 (2021) - [i36]Shuran Zheng, Fang-Yi Yu, Yiling Chen:
The Limits of Multi-task Peer Prediction. CoRR abs/2106.03176 (2021) - [i35]Yiling Chen, Fang-Yi Yu:
Optimal Scoring Rule Design. CoRR abs/2107.07420 (2021) - 2020
- [j21]Yiling Chen, Or Sheffet, Salil P. Vadhan:
Privacy Games. ACM Trans. Economics and Comput. 8(2): 9:1-9:37 (2020) - [c73]Ben Green, Yiling Chen:
Algorithm-in-the-Loop Decision Making. AAAI 2020: 13663-13664 - [c72]Lily Hu, Yiling Chen:
Fair classification and social welfare. FAT* 2020: 535-545 - [c71]Yiling Chen, Yang Liu, Chara Podimata:
Learning Strategy-Aware Linear Classifiers. NeurIPS 2020 - [c70]Yiling Chen, Yiheng Shen, Shuran Zheng:
Truthful Data Acquisition via Peer Prediction. NeurIPS 2020 - [c69]Yang Liu, Juntao Wang, Yiling Chen:
Surrogate Scoring Rules. EC 2020: 853-871 - [c68]Yiling Chen, Haifeng Xu, Shuran Zheng:
Selling Information Through Consulting. SODA 2020: 2412-2431 - [i34]Xiang Yan, Yiling Chen:
Strategyproof Facility Location Mechanisms with Richer Action Spaces. CoRR abs/2002.07889 (2020) - [i33]Shuran Zheng, Yiling Chen:
Optimal Advertising for Information Products. CoRR abs/2002.10045 (2020) - [i32]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 abs/2005.04543 (2020) - [i31]Yiling Chen, Yiheng Shen, Shuran Zheng:
Truthful Data Acquisition via Peer Prediction. CoRR abs/2006.03992 (2020) - [i30]Yiling Chen, Arpita Ghosh, Michael Kearns, Tim Roughgarden, Jennifer Wortman Vaughan:
Mathematical Foundations for Social Computing. CoRR abs/2007.03661 (2020) - [i29]Jerry Anunrojwong, Yiling Chen, Bo Waggoner, Haifeng Xu:
Computing Equilibria of Prediction Markets via Persuasion. CoRR abs/2009.03607 (2020) - [i28]Ben Green, Yiling Chen:
Algorithmic risk assessments can alter human decision-making processes in high-stakes government contexts. CoRR abs/2012.05370 (2020) - [i27]Sujata Banerjee, Yiling Chen, Kobbi Nissim, David C. Parkes, Katie A. Siek, Lauren Wilcox:
Modernizing Data Control: Making Personal Digital Data Mutually Beneficial for Citizens and Industry. CoRR abs/2012.08571 (2020)
2010 – 2019
- 2019
- [j20]Ben Green, Yiling Chen:
The Principles and Limits of Algorithm-in-the-Loop Decision Making. Proc. ACM Hum. Comput. Interact. 3(CSCW): 50:1-50:24 (2019) - [j19]Yiling Chen, Dirk Bergemann:
Introduction to the Special Issue on EC'16. ACM Trans. Economics and Comput. 7(3): 11:1 (2019) - [c67]Yiling Chen, Yang Liu, Juntao Wang:
Randomized Wagering Mechanisms. AAAI 2019: 1845-1852 - [c66]Yiling Chen, Shuran Zheng:
Prior-free Data Acquisition for Accurate Statistical Estimation. EC 2019: 659-677 - [c65]Ben Green, Yiling Chen:
Disparate Interactions: An Algorithm-in-the-Loop Analysis of Fairness in Risk Assessments. FAT 2019: 90-99 - [c64]Jerry Anunrojwong, Yiling Chen, Bo Waggoner, Haifeng Xu:
Computing Equilibria of Prediction Markets via Persuasion. WINE 2019: 45-56 - [i26]Lily Hu, Yiling Chen:
Fair Classification and Social Welfare. CoRR abs/1905.00147 (2019) - [i25]Yiling Chen, Haifeng Xu, Shuran Zheng:
Selling Information Through Consulting. CoRR abs/1907.04397 (2019) - [i24]Juntao Wang, Yang Liu, Yiling Chen:
Forecast Aggregation via Peer Prediction. CoRR abs/1910.03779 (2019) - [i23]Yiling Chen, Yang Liu, Chara Podimata:
Grinding the Space: Learning to Classify Against Strategic Agents. CoRR abs/1911.04004 (2019) - 2018
- [j18]Yiling Chen, Gabriella Kazai:
Report on the Sixth AAAI Conference on Human Computation and Crowdsourcing (HCOMP 2018). AI Mag. 39(4): 19-22 (2018) - [j17]Yiling Chen, Chara Podimata, Ariel D. Procaccia, Nisarg Shah:
Strategyproof linear regression in high dimensions: an overview. SIGecom Exch. 17(1): 54-60 (2018) - [c63]Yiling Chen, Chara Podimata, Ariel D. Procaccia, Nisarg Shah:
Strategyproof Linear Regression in High Dimensions. EC 2018: 9-26 - [c62]Yiling Chen, Nicole Immorlica, Brendan Lucier, Vasilis Syrgkanis, Juba Ziani:
Optimal Data Acquisition for Statistical Estimation. EC 2018: 27-44 - [c61]Shuran Zheng, Bo Waggoner, Yang Liu, Yiling Chen:
Active Information Acquisition for Linear Optimization. UAI 2018: 167-176 - [c60]Lily Hu, Yiling Chen:
A Short-term Intervention for Long-term Fairness in the Labor Market. WWW 2018: 1389-1398 - [e4]Yiling Chen, Gabriella Kazai:
Proceedings of the Sixth AAAI Conference on Human Computation and Crowdsourcing, HCOMP 2018, Zürich, Switzerland, July 5-8, 2018. AAAI Press 2018, ISBN 978-1-57735-799-5 [contents] - [i22]Yang Liu, Yiling Chen:
Surrogate Scoring Rules and a Dominant Truth Serum for Information Elicitation. CoRR abs/1802.09158 (2018) - [i21]Yiling Chen, Chara Podimata, Ariel D. Procaccia, Nisarg Shah:
Strategyproof Linear Regression in High Dimensions. CoRR abs/1805.10693 (2018) - [i20]Lily Hu, Yiling Chen:
Welfare and Distributional Impacts of Fair Classification. CoRR abs/1807.01134 (2018) - [i19]Yiling Chen, Yang Liu, Juntao Wang:
Randomized Wagering Mechanisms. CoRR abs/1809.04136 (2018) - [i18]Yiling Chen, Shuran Zheng:
Prior-free Data Acquisition for Accurate Statistical Estimation. CoRR abs/1811.12655 (2018) - 2017
- [j16]Yiling Chen, Bo Waggoner:
Intro to informational substitutes. SIGecom Exch. 16(1): 53-57 (2017) - [c59]Yang Liu, Yiling Chen:
Sequential Peer Prediction: Learning to Elicit Effort using Posted Prices. AAAI 2017: 607-613 - [c58]Yang Liu, Yiling Chen:
Machine-Learning Aided Peer Prediction. EC 2017: 63-80 - [i17]Yiling Chen, Bo Waggoner:
Informational Substitutes. CoRR abs/1703.08636 (2017) - [i16]Lily Hu, Yiling Chen:
Fairness at Equilibrium in the Labor Market. CoRR abs/1707.01590 (2017) - [i15]Shuran Zheng, Bo Waggoner, Yang Liu, Yiling Chen:
Active Information Acquisition for Linear Optimization. CoRR abs/1709.10061 (2017) - [i14]Yiling Chen, Nicole Immorlica, Brendan Lucier, Vasilis Syrgkanis, Juba Ziani:
Optimal Data Acquisition for Statistical Estimation. CoRR abs/1711.01295 (2017) - [i13]Lily Hu, Yiling Chen:
A Short-term Intervention for Long-term Fairness in the Labor Market. CoRR abs/1712.00064 (2017) - 2016
- [j15]Yiling Chen, Arpita Ghosh, Michael J. Kearns, Tim Roughgarden, Jennifer Wortman Vaughan:
Mathematical foundations for social computing. Commun. ACM 59(12): 102-108 (2016) - [j14]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): 13:1-13:30 (2016) - [c57]Yiling Chen, Bo Waggoner:
Informational Substitutes. FOCS 2016: 239-247 - [c56]Ming Yin, Yiling Chen:
Predicting Crowd Work Quality under Monetary Interventions. HCOMP 2016: 259-268 - [c55]Yang Liu, Yiling Chen:
Learning to Incentivize: Eliciting Effort via Output Agreement. IJCAI 2016: 3782-3788 - [c54]Yang Liu, Yiling Chen:
A Bandit Framework for Strategic Regression. NIPS 2016: 1813-1821 - [c53]Chien-Ju Ho, Rafael M. Frongillo, Yiling Chen:
Eliciting Categorical Data for Optimal Aggregation. NIPS 2016: 2442-2450 - [c52]Yiling Chen:
Keynote Speaker Bio. WSDM 2016: 225 - [e3]Vincent Conitzer, Dirk Bergemann, Yiling Chen:
Proceedings of the 2016 ACM Conference on Economics and Computation, EC '16, Maastricht, The Netherlands, July 24-28, 2016. ACM 2016, ISBN 978-1-4503-3936-0 [contents] - [i12]Yang Liu, Yiling Chen:
Learning to Incentivize: Eliciting Effort via Output Agreement. CoRR abs/1604.04928 (2016) - [i11]Yang Liu, Yiling Chen:
Sequential Peer Prediction: Learning to Elicit Effort using Posted Prices. CoRR abs/1611.09219 (2016) - 2015
- [j13]Yiling Chen, Xi Alice Gao, Rick Goldstein, Ian A. Kash:
Market manipulation with outside incentives. Auton. Agents Multi Agent Syst. 29(2): 230-265 (2015) - [j12]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: 389-416 (2015) - [j11]Yiling Chen, Nicole Immorlica:
Introduction to the Special Issue on WINE'13. ACM Trans. Economics and Comput. 3(4): 17:1 (2015) - [c51]Yiling Chen, Kobbi Nissim, Bo Waggoner:
Fair Information Sharing for Treasure Hunting. AAAI 2015: 851-857 - [c50]Rafael M. Frongillo, Yiling Chen, Ian A. Kash:
Elicitation for Aggregation. AAAI 2015: 900-906 - [c49]Ming Yin, Yiling Chen:
Bonus or Not? Learn to Reward in Crowdsourcing. IJCAI 2015: 201-208 - [c48]Jacob D. Abernethy, Yiling Chen, Chien-Ju Ho, Bo Waggoner:
Low-Cost Learning via Active Data Procurement. EC 2015: 619-636 - [i10]Jacob D. Abernethy, Yiling Chen, Chien-Ju Ho, Bo Waggoner:
Actively Purchasing Data for Learning. CoRR abs/1502.05774 (2015) - 2014
- [j10]Shaili Jain, Yiling Chen, David C. Parkes:
Designing incentives for online question-and-answer forums. Games Econ. Behav. 86: 458-474 (2014) - [j9]Yiling Chen, Ian A. Kash, Michael Ruberry, Victor Shnayder:
Eliciting Predictions and Recommendations for Decision Making. ACM Trans. Economics and Comput. 2(2): 6:1-6:27 (2014) - [c47]Simina Brânzei, Yiling Chen, Xiaotie Deng, Aris Filos-Ratsikas, Søren Kristoffer Stiil Frederiksen, Jie Zhang:
The Fisher Market Game: Equilibrium and Welfare. AAAI 2014: 587-593 - [c46]Peter Zhang, Yiling Chen:
Elicitability and knowledge-free elicitation with peer prediction. AAMAS 2014: 245-252 - [c45]Bo Waggoner, Yiling Chen:
Output Agreement Mechanisms and Common Knowledge. HCOMP 2014: 220-226 - [c44]Ming Yin, Yiling Chen, Yuan Sun:
Monetary Interventions in Crowdsourcing Task Switching. HCOMP 2014: 234-241 - [c43]Yiling Chen, Nikhil R. Devanur, David M. Pennock, Jennifer Wortman Vaughan:
Removing arbitrage from wagering mechanisms. EC 2014: 377-394 - [c42]Xi Alice Gao, Andrew Mao, Yiling Chen, Ryan Prescott Adams:
Trick or treat: putting peer prediction to the test. EC 2014: 507-524 - [c41]Yiling Chen, Or Sheffet, Salil P. Vadhan:
Privacy Games. WINE 2014: 371-385 - [i9]Rafael M. Frongillo, Yiling Chen, Ian A. Kash:
Elicitation for Aggregation. CoRR abs/1410.0375 (2014) - [i8]Yiling Chen, Or Sheffet, Salil P. Vadhan:
Privacy Games. CoRR abs/1410.1920 (2014) - 2013
- [j8]Yiling Chen, John K. Lai, David C. Parkes, Ariel D. Procaccia:
Truth, justice, and cake cutting. Games Econ. Behav. 77(1): 284-297 (2013) - [j7]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): 12:1-12:39 (2013) - [c40]Andrew Mao, Ariel D. Procaccia, Yiling Chen:
Better Human Computation Through Principled Voting. AAAI 2013: 1142-1148 - [c39]Ming Yin, Yiling Chen, Yuan Sun:
The Effects of Performance-Contingent Financial Incentives in Online Labor Markets. AAAI 2013: 1191-1197 - [c38]Reshef Meir, Yiling Chen, Michal Feldman:
Efficient parking allocation as online bipartite matching with posted prices. AAMAS 2013: 303-310 - [c37]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: 94-102 - [c36]Ming Yin, Yiling Chen, Yuan Sun:
Task Sequence Design: Evidence on Price and Difficulty. HCOMP (Works in Progress / Demos) 2013 - [c35]Yiling Chen, Stephen Chong, Ian A. Kash, Tal Moran, Salil P. Vadhan:
Truthful mechanisms for agents that value privacy. EC 2013: 215-232 - [c34]Xi Alice Gao, Jie Zhang, Yiling Chen:
What you jointly know determines how you act: strategic interactions in prediction markets. EC 2013: 489-506 - [c33]Yiling Chen, Mike Ruberry, Jennifer Wortman Vaughan:
Cost function market makers for measurable spaces. EC 2013: 785-802 - [e2]Yiling Chen, Nicole Immorlica:
Web and Internet Economics - 9th International Conference, WINE 2013, Cambridge, MA, USA, December 11-14, 2013, Proceedings. Lecture Notes in Computer Science 8289, Springer 2013, ISBN 978-3-642-45045-7 [contents] - [i7]Andrew Mao, Hossein Azari Soufiani, Yiling Chen, David C. Parkes:
Capturing Cognitive Aspects of Human Judgment. CoRR abs/1311.0251 (2013) - 2012
- [j6]Vikas Agrawal, Jorge A. Baier, Kostas E. Bekris, Yiling Chen, Artur S. d'Avila Garcez, Pascal Hitzler, Patrik Haslum, Dietmar Jannach, Edith Law, Freddy Lécué, Luís C. Lamb, Cynthia Matuszek, Héctor Palacios, Biplav Srivastava, Lokendra Shastri, Nathan R. Sturtevant, Roni Stern, Stefanie Tellex, Stavros Vassos:
Reports of the AAAI 2012 Conference Workshops. AI Mag. 33(4): 119- (2012) - [c32]Thomas Pfeiffer, Xi Alice Gao, Yiling Chen, Andrew Mao, David G. Rand:
Adaptive Polling for Information Aggregation. AAAI 2012: 122-128 - [c31]David F. Bacon, David C. Parkes, Yiling Chen, Malvika Rao, Ian A. Kash, Manu Sridharan:
Predicting your own effort. AAMAS 2012: 695-702 - [c30]Haoqi Zhang, Eric Horvitz, Yiling Chen, David C. Parkes:
Task routing for prediction tasks. AAMAS 2012: 889-896 - [c29]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 - [c28]Andrew Mao, Ariel D. Procaccia, Yiling Chen:
Social Choice for Human Computation. HCOMP@AAAI 2012 - [c27]Yiling Chen, Mike Ruberry, Jennifer Wortman Vaughan:
Designing Informative Securities. UAI 2012: 185-195 - [e1]Yiling Chen, Panagiotis G. Ipeirotis, Edith Law, Luis von Ahn, Haoqi Zhang:
The 4th Human Computation Workshop, HCOMP@AAAI 2012, Toronto, Ontario, Canada, July 23, 2012. AAAI Technical Report WS-12-08, AAAI Press 2012 [contents] - [i6]Yiling Chen, David M. Pennock:
A Utility Framework for Bounded-Loss Market Makers. CoRR abs/1206.5252 (2012) - [i5]Yiling Chen, Mike Ruberry, Jennifer Wortman Vaughan:
Designing Informative Securities. CoRR abs/1210.4837 (2012) - 2011
- [c26]Yiling Chen, Xi Alice Gao, Rick Goldstein, Ian A. Kash:
Market Manipulation with Outside Incentives. AAAI 2011: 614-619 - [c25]Yiling Chen, Ian A. Kash:
Information elicitation for decision making. AAMAS 2011: 175-182 - [c24]Yiling Chen, Jerry Kung, David C. Parkes, Ariel D. Procaccia, Haoqi Zhang:
Incentive design for adaptive agents. AAMAS 2011: 627-634 - [c23]Jacob D. Abernethy, Yiling Chen, Jennifer Wortman Vaughan:
An optimization-based framework for automated market-making. EC 2011: 297-306 - [c22]Yiling Chen, Ian A. Kash, Mike Ruberry, Victor Shnayder:
Decision Markets with Good Incentives. WINE 2011: 72-83 - [i4]Yiling Chen, Stephen Chong, Ian A. Kash, Tal Moran, Salil P. Vadhan:
Truthful Mechanisms for Agents that Value Privacy. CoRR abs/1111.5472 (2011) - 2010
- [j5]Yiling Chen, David M. Pennock:
Designing Markets for Prediction. AI Mag. 31(4): 42-52 (2010) - [j4]Yiling Chen, Stanko Dimitrov, Rahul Sami, Daniel M. Reeves, David M. Pennock, Robin D. Hanson, Lance Fortnow, Rica Gonen:
Gaming Prediction Markets: Equilibrium Strategies with a Market Maker. Algorithmica 58(4): 930-969 (2010) - [j3]Yiling Chen, Jennifer Wortman Vaughan:
Connections between markets and learning. SIGecom Exch. 9(1): 6 (2010) - [c21]Yiling Chen, John K. Lai, David C. Parkes, Ariel D. Procaccia:
Truth, Justice, and Cake Cutting. AAAI 2010: 756-761 - [c20]Eric Huang, Haoqi Zhang, David C. Parkes, Krzysztof Z. Gajos, Yiling Chen:
Toward automatic task design: a progress report. HCOMP@KDD 2010: 77-85 - [c19]Yiling Chen, Jennifer Wortman Vaughan:
A new understanding of prediction markets via no-regret learning. EC 2010: 189-198 - [c18]David F. Bacon, Eric Bokelberg, Yiling Chen, Ian A. Kash, David C. Parkes, Malvika Rao, Manu Sridharan:
Software economies. FoSER 2010: 7-12 - [c17]Xi Alice Gao, Yiling Chen:
An Axiomatic Characterization of Continuous-Outcome Market Makers. WINE 2010: 505-514 - [i3]Yiling Chen, Jennifer Wortman Vaughan:
A New Understanding of Prediction Markets Via No-Regret Learning. CoRR abs/1003.0034 (2010) - [i2]Jacob D. Abernethy, Yiling Chen, Jennifer Wortman Vaughan:
An Optimization-Based Framework for Automated Market-Making. CoRR abs/1011.1941 (2010)
2000 – 2009
- 2009
- [c16]Haoqi Zhang, Yiling Chen, David C. Parkes:
A General Approach to Environment Design with One Agent. IJCAI 2009: 2002-2014 - [c15]David F. Bacon, Yiling Chen, David C. Parkes, Malvika Rao:
A market-based approach to software evolution. OOPSLA Companion 2009: 973-980 - [c14]Shaili Jain, Yiling Chen, David C. Parkes:
Designing incentives for online question and answer forums. EC 2009: 129-138 - [c13]Haoqi Zhang, David C. Parkes, Yiling Chen:
Policy teaching through reward function learning. EC 2009: 295-304 - [c12]Xi Alice Gao, Yiling Chen, David M. Pennock:
Betting on the Real Line. WINE 2009: 553-560 - [c11]Qianya Lin, Yiling Chen:
Gaming Dynamic Parimutuel Markets. WINE 2009: 623-631 - 2008
- [c10]Nicolas S. Lambert, John Langford, Jennifer Wortman, Yiling Chen, Daniel M. Reeves, Yoav Shoham, David M. Pennock:
Self-financed wagering mechanisms for forecasting. EC 2008: 170-179 - [c9]Yiling Chen, Lance Fortnow, Nicolas S. Lambert, David M. Pennock, Jennifer Wortman:
Complexity of combinatorial market makers. EC 2008: 190-199 - [c8]Yiling Chen, Sharad Goel, David M. Pennock:
Pricing combinatorial markets for tournaments. STOC 2008: 305-314 - [c7]Yiling Chen, Arpita Ghosh, Randolph Preston McAfee, David M. Pennock:
Sharing Online Advertising Revenue with Consumers. WINE 2008: 556-565 - [i1]Yiling Chen, Lance Fortnow, Nicolas S. Lambert, David M. Pennock, Jennifer Wortman:
Complexity of Combinatorial Market Makers. CoRR abs/0802.1362 (2008) - 2007
- [j2]Yiling Chen, Lance Fortnow, Evdokia Nikolova, David M. Pennock:
Combinatorial betting. SIGecom Exch. 7(1): 61-64 (2007) - [c6]Yiling Chen, Lance Fortnow, Evdokia Nikolova, David M. Pennock:
Betting on permutations. EC 2007: 326-335 - [c5]Yiling Chen, John O. Ledyard, David M. Pennock, Eric Zitzewitz:
Second workshop on prediction markets. EC 2007: 361-362 - [c4]Yiling Chen:
Prediction markets: economics, computation, and mechanism design. EC 2007: 365 - [c3]Yiling Chen, David M. Pennock:
A Utility Framework for Bounded-Loss Market Makers. UAI 2007: 49-56 - [c2]Yiling Chen, Daniel M. Reeves, David M. Pennock, Robin D. Hanson, Lance Fortnow, Rica Gonen:
Bluffing and Strategic Reticence in Prediction Markets. WINE 2007: 70-81 - 2006
- [j1]Yiling Chen, Tracy Mullen, Chao-Hsien Chu:
An in-depth analysis of information markets with aggregate uncertainty. Electron. Commer. Res. 6(2): 201-221 (2006) - 2005
- [c1]Yiling Chen, Chao-Hsien Chu, Tracy Mullen, David M. Pennock:
Information markets vs. opinion pools: an empirical comparison. EC 2005: 58-67
Coauthor Index
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Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
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OpenAlex data
Load additional information about publications from 
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last updated on 2024-04-25 05:52 CEST by the dblp team
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