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Chien-Ju Ho
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2020 – today
- 2024
- [c34]Yatong Chen, Wei Tang, Chien-Ju Ho, Yang Liu:
Performative Prediction with Bandit Feedback: Learning through Reparameterization. ICML 2024 - [c33]Andrew Estornell, Tina Zhang, Sanmay Das, Chien-Ju Ho, Brendan Juba, Yevgeniy Vorobeychik:
The Impact of Features Used by Algorithms on Perceptions of Fairness. IJCAI 2024: 376-384 - [c32]Yiding Feng, Chien-Ju Ho, Wei Tang:
Rationality-Robust Information Design: Bayesian Persuasion under Quantal Response. SODA 2024: 501-546 - [i13]Robert Kasumba, Guanghui Yu, Chien-Ju Ho, Sarah Keren, William Yeoh:
Data-Driven Goal Recognition Design for General Behavioral Agents. CoRR abs/2404.03054 (2024) - [i12]Guanghui Yu, Robert Kasumba, Chien-Ju Ho, William Yeoh:
On the Utility of Accounting for Human Beliefs about AI Behavior in Human-AI Collaboration. CoRR abs/2406.06051 (2024) - [i11]Victor A. Borza, Andrew Estornell, Chien-Ju Ho, Bradley A. Malin, Yevgeniy Vorobeychik:
Dataset Representativeness and Downstream Task Fairness. CoRR abs/2407.00170 (2024) - [i10]Victor A. Borza, Andrew Estornell, Ellen Wright Clayton, Chien-Ju Ho, Russell Rothman, Yevgeniy Vorobeychik, Bradley A. Malin:
Adaptive Recruitment Resource Allocation to Improve Cohort Representativeness in Participatory Biomedical Datasets. CoRR abs/2408.01375 (2024) - 2023
- [c31]Saumik Narayanan, Guanghui Yu, Chien-Ju Ho, Ming Yin:
How does Value Similarity affect Human Reliance in AI-Assisted Ethical Decision Making? AIES 2023: 49-57 - [c30]Guanghui Yu, Wei Tang, Saumik Narayanan, Chien-Ju Ho:
Encoding Human Behavior in Information Design through Deep Learning. NeurIPS 2023 - [c29]Bolin Ding, Yiding Feng, Chien-Ju Ho, Wei Tang, Haifeng Xu:
Competitive Information Design for Pandora's Box. SODA 2023: 353-381 - [i9]Yatong Chen, Wei Tang, Chien-Ju Ho, Yang Liu:
Performative Prediction with Bandit Feedback: Learning through Reparameterization. CoRR abs/2305.01094 (2023) - 2022
- [c28]Saumik Narayanan, Guanghui Yu, Wei Tang, Chien-Ju Ho, Ming Yin:
How Does Predictive Information Affect Human Ethical Preferences? AIES 2022: 508-517 - [c27]Guanghui Yu, Chien-Ju Ho:
Environment Design for Biased Decision Makers. IJCAI 2022: 592-598 - [c26]Xiaoni Duan, Chien-Ju Ho, Ming Yin:
The Influences of Task Design on Crowdsourced Judgement: A Case Study of Recidivism Risk Evaluation. WWW 2022: 1685-1696 - [i8]Yiding Feng, Chien-Ju Ho, Wei Tang:
Rationality-Robust Information Design: Bayesian Persuasion under Quantal Response. CoRR abs/2207.08253 (2022) - 2021
- [c25]Wei Tang, Chien-Ju Ho, Yang Liu:
Linear Models are Robust Optimal Under Strategic Behavior. AISTATS 2021: 2584-2592 - [c24]Zehao Dong, Sanmay Das, Patrick J. Fowler, Chien-Ju Ho:
Efficient Nonmyopic Online Allocation of Scarce Reusable Resources. AAMAS 2021: 447-455 - [c23]Wei Tang, Chien-Ju Ho:
On the Bayesian Rational Assumption in Information Design. HCOMP 2021: 120-130 - [c22]Wei Tang, Chien-Ju Ho, Yang Liu:
Bandit Learning with Delayed Impact of Actions. NeurIPS 2021: 26804-26817 - [i7]Bolin Ding, Yiding Feng, Chien-Ju Ho, Wei Tang:
Competitive Information Disclosure with Multiple Receivers. CoRR abs/2103.03769 (2021) - [i6]Wei Tang, Chien-Ju Ho, Yang Liu:
Optimal Query Complexity of Secure Stochastic Convex Optimization. CoRR abs/2104.01926 (2021) - 2020
- [c21]Wei Tang, Chien-Ju Ho, Yang Liu:
Differentially Private Contextual Dynamic Pricing. AAMAS 2020: 1368-1376 - [c20]Xiaoni Duan, Chien-Ju Ho, Ming Yin:
Does Exposure to Diverse Perspectives Mitigate Biases in Crowdwork? An Explorative Study. HCOMP 2020: 155-158 - [c19]Wei Tang, Chien-Ju Ho, Yang Liu:
Optimal Query Complexity of Secure Stochastic Convex Optimization. NeurIPS 2020 - [i5]Wei Tang, Chien-Ju Ho, Yang Liu:
Fair Bandit Learning with Delayed Impact of Actions. CoRR abs/2002.10316 (2020)
2010 – 2019
- 2019
- [c18]Wei Tang, Chien-Ju Ho:
Bandit Learning with Biased Human Feedback. AAMAS 2019: 1324-1332 - [c17]Zhuoshu Li, Kelsey Lieberman, William Macke, Sofia Carrillo, Chien-Ju Ho, Jason Wellen, Sanmay Das:
Incorporating Compatible Pairs in Kidney Exchange: A Dynamic Weighted Matching Model. EC 2019: 349-367 - [c16]Wei Tang, Ming Yin, Chien-Ju Ho:
Leveraging Peer Communication to Enhance Crowdsourcing. WWW 2019: 1794-1805 - 2018
- [c15]Yang Liu, Chien-Ju Ho:
Incentivizing High Quality User Contributions: New Arm Generation in Bandit Learning. AAAI 2018: 1146-1153 - [i4]Chien-Ju Ho, Ming Yin:
Working in Pairs: Understanding the Effects of Worker Interactions in Crowdwork. CoRR abs/1810.09634 (2018) - 2016
- [j5]Chien-Ju Ho, Aleksandrs Slivkins, Jennifer Wortman Vaughan:
Adaptive Contract Design for Crowdsourcing Markets: Bandit Algorithms for Repeated Principal-Agent Problems. J. Artif. Intell. Res. 55: 317-359 (2016) - [c14]Chien-Ju Ho, Rafael M. Frongillo, Yiling Chen:
Eliciting Categorical Data for Optimal Aggregation. NIPS 2016: 2442-2450 - 2015
- [b1]Chien-Ju Ho:
Design and Analysis of Crowdsourcing Mechanisms. University of California, Los Angeles, USA, 2015 - [j4]Chien-Ju Ho, Aleksandrs Slivkins, Siddharth Suri, Jennifer Wortman Vaughan:
Incentivizing high quality crowdwork. SIGecom Exch. 14(2): 26-34 (2015) - [c13]Jacob D. Abernethy, Yiling Chen, Chien-Ju Ho, Bo Waggoner:
Low-Cost Learning via Active Data Procurement. EC 2015: 619-636 - [c12]Chien-Ju Ho, Aleksandrs Slivkins, Siddharth Suri, Jennifer Wortman Vaughan:
Incentivizing High Quality Crowdwork. WWW 2015: 419-429 - [i3]Jacob D. Abernethy, Yiling Chen, Chien-Ju Ho, Bo Waggoner:
Actively Purchasing Data for Learning. CoRR abs/1502.05774 (2015) - [i2]Chien-Ju Ho, Aleksandrs Slivkins, Siddharth Suri, Jennifer Wortman Vaughan:
Incentivizing High Quality Crowdwork. CoRR abs/1503.05897 (2015) - 2014
- [c11]Chien-Ju Ho, Aleksandrs Slivkins, Jennifer Wortman Vaughan:
Adaptive contract design for crowdsourcing markets: bandit algorithms for repeated principal-agent problems. EC 2014: 359-376 - [i1]Chien-Ju Ho, Aleksandrs Slivkins, Jennifer Wortman Vaughan:
Adaptive Contract Design for Crowdsourcing Markets: Bandit Algorithms for Repeated Principal-Agent Problems. CoRR abs/1405.2875 (2014) - 2013
- [c10]Chien-Ju Ho, Shahin Jabbari, Jennifer Wortman Vaughan:
Adaptive Task Assignment for Crowdsourced Classification. ICML (1) 2013: 534-542 - 2012
- [c9]Chien-Ju Ho, Jennifer Wortman Vaughan:
Online Task Assignment in Crowdsourcing Markets. AAAI 2012: 45-51 - [c8]Chien-Ju Ho, Yu Zhang, Jennifer Wortman Vaughan, Mihaela van der Schaar:
Towards Social Norm Design for Crowdsourcing Markets. HCOMP@AAAI 2012 - 2011
- [j3]Chien-Ju Ho, Chen-Chi Wu, Kuan-Ta Chen, Chin-Laung Lei:
DevilTyper: a game for CAPTCHA usability evaluation. Comput. Entertain. 9(1): 3:1-3:14 (2011) - [c7]Chien-Ju Ho, Yen-Ling Kuo, Jane Yung-jen Hsu:
Multiagent environment design in human computation. AAMAS 2011: 1279-1280 - 2010
- [j2]Chien-Ju Ho, Tao-Hsuan Chang, Jong-Chuan Lee, Jane Yung-jen Hsu, Kuan-Ta Chen:
KissKissBan: a competitive human computation game for image annotation. SIGKDD Explor. 12(1): 21-24 (2010)
2000 – 2009
- 2009
- [c6]Chien-Ju Ho, Tao-Hsuan Chang, Jong-Chuan Lee, Jane Yung-jen Hsu, Kuan-Ta Chen:
KissKissBan: a competitive human computation game for image annotation. KDD Workshop on Human Computation 2009: 11-14 - [c5]Chien-Ju Ho, Kuan-Ta Chen:
On formal models for social verification. KDD Workshop on Human Computation 2009: 62-69 - 2008
- [c4]Wenn-Chieh Tsai, Yuan-Hsiang Lee, Tsung-Hsiang Chang, Chien-Ju Ho, Jane Yung-jen Hsu:
Designing human-computer multi-agent collaboration in productive multi-player games. AAMAS (3) 2008: 1441-1444 - 2007
- [c3]Chien-Ju Ho, Tsung-Hsiang Chang, Jane Yung-jen Hsu:
PhotoSlap: A Multi-player Online Game for Semantic Annotation. AAAI 2007: 1359-1364 - [c2]Tsung-Hsiang Chang, Chien-Ju Ho, Jane Yung-jen Hsu:
The PhotoSlap Game: Play to Annotate. AAAI 2007: 1966-1967 - 2006
- [j1]Jane Yung-jen Hsu, Kwei-Jay Lin, Tsung-Hsiang Chang, Chien-Ju Ho, Han-Shen Huang, Wan-rong Jih:
Parameter learning of personalized trust models in broker-based distributed trust management. Inf. Syst. Frontiers 8(4): 321-333 (2006) - 2005
- [c1]Tsung-Hsiang Chang, Chien-Ju Ho, David Chawei Hsu, Yuan-Hsiang Lee, Min-Shieh Tsai, Mu-Chun Wang, Jane Yung-jen Hsu:
iCane - A Partner for the Visually Impaired. EUC Workshops 2005: 393-402
Coauthor Index
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