Yuqing Kong

Orcid: 0000-0002-5901-3004

According to our database1, Yuqing Kong authored at least 42 papers between 2016 and 2024.

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Bibliography

2024
Dominantly Truthful Peer Prediction Mechanisms with a Finite Number of Tasks.
J. ACM, April, 2024

The Surprising Benefits of Base Rate Neglect in Robust Aggregation.
CoRR, 2024

How Gold to Make the Golden Snitch: Designing the "Game Changer" in Esports.
CoRR, 2024

Eliciting Informative Text Evaluations with Large Language Models.
CoRR, 2024

Robust Decision Aggregation with Adversarial Experts.
CoRR, 2024

Peer Expectation in Robust Forecast Aggregation: The Possibility/Impossibility.
CoRR, 2024

Algorithmic Robust Forecast Aggregation.
CoRR, 2024

Robust Decision Aggregation with Second-order Information.
Proceedings of the ACM on Web Conference 2024, 2024

2023
Learning against Non-credible Auctions.
CoRR, 2023

Multistable Perception, False Consensus, and Information Complements.
CoRR, 2023

Near-Optimal Experimental Design Under the Budget Constraint in Online Platforms.
Proceedings of the ACM Web Conference 2023, 2023

Calibrating "Cheap Signals" in Peer Review without a Prior.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

False Consensus, Information Theory, and Prediction Markets.
Proceedings of the 14th Innovations in Theoretical Computer Science Conference, 2023

Learning to Bid in Repeated First-Price Auctions with Budgets.
Proceedings of the International Conference on Machine Learning, 2023

2022
BONUS! Maximizing Surprise.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Eliciting Thinking Hierarchy without a Prior.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

More Dominantly Truthful Multi-Task Peer Prediction with a Finite Number of Tasks.
Proceedings of the 13th Innovations in Theoretical Computer Science Conference, 2022

2021
Information Elicitation Meets Clustering.
CoRR, 2021

Identifying Fast/Slow Thinking without Prior.
CoRR, 2021

Truthful Information Elicitation from Hybrid Crowds.
CoRR, 2021

Survey Equivalence: A Procedure for Measuring Classifier Accuracy Against Human Labels.
CoRR, 2021

Modularity and Mutual Information in Networks: Two Sides of the Same Coin.
CoRR, 2021

Counting the Number of People That Are Less Clever Than You.
CoRR, 2021

Equal Affection or Random Selection: the Quality of Subjective Feedback from a Group Perspective.
CoRR, 2021

SURPRISE! and When to Schedule It.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

2020
Dominantly Truthful Multi-task Peer Prediction with a Constant Number of Tasks.
Proceedings of the 2020 ACM-SIAM Symposium on Discrete Algorithms, 2020

TCGM: An Information-Theoretic Framework for Semi-supervised Multi-modality Learning.
Proceedings of the Computer Vision - ECCV 2020, 2020

Information Elicitation Mechanisms for Statistical Estimation.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
An Information Theoretic Framework For Designing Information Elicitation Mechanisms That Reward Truth-telling.
ACM Trans. Economics and Comput., 2019

L_DMI: An Information-theoretic Noise-robust Loss Function.
CoRR, 2019

Securely Trading Unverifiable Information without Trust.
CoRR, 2019

Outsourcing Computation: The Minimal Refereed Mechanism.
Proceedings of the Web and Internet Economics - 15th International Conference, 2019

L_DMI: A Novel Information-theoretic Loss Function for Training Deep Nets Robust to Label Noise.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Max-MIG: an Information Theoretic Approach for Joint Learning from Crowds.
Proceedings of the 7th International Conference on Learning Representations, 2019

f-Similarity Preservation Loss for Soft Labels: A Demonstration on Cross-Corpus Speech Emotion Recognition.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Eliciting and Aggregating Information: An Information Theoretic Approach.
PhD thesis, 2018

Eliciting Expertise without Verification.
Proceedings of the 2018 ACM Conference on Economics and Computation, 2018

Water from Two Rocks: Maximizing the Mutual Information.
Proceedings of the 2018 ACM Conference on Economics and Computation, 2018

Optimizing Bayesian Information Revelation Strategy in Prediction Markets: the Alice Bob Alice Case.
Proceedings of the 9th Innovations in Theoretical Computer Science Conference, 2018

Equilibrium Selection in Information Elicitation without Verification via Information Monotonicity.
Proceedings of the 9th Innovations in Theoretical Computer Science Conference, 2018

2016
A Framework For Designing Information Elicitation Mechanisms That Reward Truth-telling.
CoRR, 2016

Putting Peer Prediction Under the Micro(economic)scope and Making Truth-Telling Focal.
Proceedings of the Web and Internet Economics - 12th International Conference, 2016


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