Jingyan Wang

28 papers A* 5A 5B 1C 1Journal 13Unranked 2
YearRankTypeTitle / Venue / Authors
2025 J jnl
Choosing the Better Bandit Algorithm under Data Sharing: When Do A/B Experiments Work?
CoRR
Shuangning Li, Chonghuan Wang, Jingyan Wang
2025 — conf
Equilibria of Data Marketplaces with Privacy-Aware Sellers under Endogenous Privacy Costs.
SaTML
Diptangshu Sen, Jingyan Wang, Juba Ziani
2025 J jnl
Producers Equilibria and Dynamics in Engagement-Driven Recommender Systems.
Trans. Mach. Learn. Res.
Krishna Acharya, Juba Ziani, Jingyan Wang, Varun Vangala
2024 J jnl
Debiasing Evaluations That Are Biased by Evaluations.
J. Mach. Learn. Res.
Jingyan Wang, Ivan Stelmakh, Yuting Wei, Nihar B. Shah
2024 J jnl
Equilibria of Data Marketplaces with Privacy-Aware Sellers under Endogenous Privacy Costs.
CoRR
Diptangshu Sen, Jingyan Wang, Juba Ziani
2024 — conf
Learning the Eye of the Beholder: Statistical Modeling and Estimation for Personalized Color Perception.
Allerton
Xuanzhou Chen, Austin Xu, Jingyan Wang, Ashwin Pananjady
2024 J jnl
Producers Equilibria and Dynamics in Engagement-Driven Recommender Systems.
CoRR
Krishna Acharya, Varun Vangala, Jingyan Wang, Juba Ziani
2024 J jnl
Reviewer No. 2: Old and New Problems in Peer Review (Dagstuhl Seminar 24052).
Dagstuhl Reports
Iryna Gurevych, Anna Rogers, Nihar B. Shah, Jingyan Wang
2024 J jnl
What Can Natural Language Processing Do for Peer Review?
CoRR
Ilia Kuznetsov, Osama Mohammed Afzal, Koen Dercksen, Nils Dycke, Alexander Goldberg, Tom Hope, Dirk Hovy, Jonathan K. Kummerfeld, Anne Lauscher, Kevin Leyton-Brown, Sheng Lu, Mausam, Margot Mieskes, Aurélie Névéol, Danish Pruthi, Lizhen Qu, Roy Schwartz, Noah A. Smith, Thamar Solorio, Jingyan Wang, Xiaodan Zhu, Anna Rogers, Nihar B. Shah, Iryna Gurevych
2023 A* conf
Modeling and Correcting Bias in Sequential Evaluation.
EC
Jingyan Wang, Ashwin Pananjady
2023 A* conf
Perceptual adjustment queries and an inverted measurement paradigm for low-rank metric learning.
NeurIPS
Austin Xu, Andrew D. McRae, Jingyan Wang, Mark A. Davenport, Ashwin Pananjady
2023 J jnl
Perceptual adjustment queries and an inverted measurement paradigm for low-rank metric learning.
CoRR
Austin Xu, Andrew D. McRae, Jingyan Wang, Mark A. Davenport, Ashwin Pananjady
2022 B conf
Allocation Schemes in Analytic Evaluation: Applicant-Centric Holistic or Attribute-Centric Segmented?
HCOMP
Jingyan Wang, Carmel Baharav, Nihar B. Shah, Anita Williams Woolley, R. Ravi
2022 J jnl
Allocation Schemes in Analytic Evaluation: Applicant-Centric Holistic or Attribute-Centric Segmented?
CoRR
Jingyan Wang, Carmel Baharav, Nihar B. Shah, Anita Williams Woolley, R. Ravi
2022 J jnl
Modeling and Correcting Bias in Sequential Evaluation.
CoRR
Jingyan Wang, Ashwin Pananjady
2022 A* conf
Recruitment Strategies That Take a Chance.
NeurIPS
Gregory Kehne, Ariel D. Procaccia, Jingyan Wang
2022 — —
Understanding and Mitigating Biases in Evaluation.
Jingyan Wang
2021 A conf
A heuristic for statistical seriation.
UAI
Komal Dhull, Jingyan Wang, Nihar B. Shah, Yuanzhi Li, R. Ravi
2021 A* conf
Debiasing Evaluations That Are Biased by Evaluations.
AAAI
Jingyan Wang, Ivan Stelmakh, Yuting Wei, Nihar B. Shah
2020 J jnl
Debiasing Evaluations That are Biased by Evaluations.
CoRR
Jingyan Wang, Ivan Stelmakh, Yuting Wei, Nihar B. Shah
2020 A* conf
Ranking and Rating Rankings and Ratings.
AAAI
Jingyan Wang, Nihar B. Shah
2020 A conf
Stretching the Effectiveness of MLE from Accuracy to Bias for Pairwise Comparisons.
AISTATS
Jingyan Wang, Nihar B. Shah, R. Ravi
2019 J jnl
Stretching the Effectiveness of MLE from Accuracy to Bias for Pairwise Comparisons.
CoRR
Jingyan Wang, Nihar B. Shah, R. Ravi
2019 A conf
Your 2 is My 1, Your 3 is My 9: Handling Arbitrary Miscalibrations in Ratings.
AAMAS
Jingyan Wang, Nihar B. Shah
2018 A conf
The More You Look, the More You See: Towards General Object Understanding Through Recursive Refinement.
WACV
Jingyan Wang, Olga Russakovsky, Deva Ramanan
2018 J jnl
Your 2 is My 1, Your 3 is My 9: Handling Arbitrary Miscalibrations in Ratings.
CoRR
Jingyan Wang, Nihar B. Shah
2015 A conf
Having Your Cake and Eating It Too: Jointly Optimal Erasure Codes for I/O, Storage, and Network-bandwidth.
FAST
K. V. Rashmi, Preetum Nakkiran, Jingyan Wang, Nihar B. Shah, Kannan Ramchandran
2014 C conf
Iterative Hard Thresholding for Keyword Extraction from Large Text Corpora.
ICMLA
Steve Yadlowsky, Preetum Nakkarin, Jingyan Wang, Rishi Sharma, Laurent El Ghaoui