Yiling Chen
21 papers · 2015–2025 · 5 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (36) π Conference Polyglot Β· Silver π Academic Marathon Β· Half π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
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Topic Evolution
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Grand Slam
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Keyword Champion
(3)
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Conference Pioneer
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Unstoppable Β· Bronze
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The Questioner
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Prolific Year Β· Productive
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Century Club Β· Bronze
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Keyword Collector
(104)
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Research topics
Machine Learning
(16)
Artificial Intelligence
(14)
Core AI
(13)
Optimization & Theory
(8)
Learning Types
(7)
Mathematics & Optimization
(4)
Optimization
(4)
Application Areas
(3)
Bayesian & Probabilistic
(3)
Core Methods
(3)
Data Science & Analytics
(2)
Applications
(2)
Computer Vision
(1)
Deep Learning
(1)
Analysis
(1)
Keywords
mechanism design
(5)
bayesian persuasion
(3)
nash equilibrium
(3)
peer prediction
(3)
bayesian inference
(3)
game theory
(2)
multi-armed bandit
(2)
stackelberg game
(2)
bayesian nash equilibrium
(2)
signaling scheme
(2)
learning algorithm
(2)
strategic classification
(2)
truthful reporting
(2)
class imbalance
(1)
feature representation
(1)
weakly supervised learning
(1)
signaling games
(1)
object detection
(1)
reinforcement learning
(1)
interactive systems
(1)
Papers
Generalized Principal-Agent Problem with a Learning Agent
ICLR 2025
Strategic Classification With Externalities
ICLR 2025
A Persuasive Approach to Combating Misinformation
ICML 2024
Bias Detection via Signaling
NeurIPS 2024
Carrot and Stick: Eliciting Comparison Data and Beyond
NeurIPS 2024
Equilibrium of Data Markets with Externality
ICML 2024
Multi-Sender Persuasion: A Computational Perspective
ICML 2024
Position: Social Environment Design Should be Further Developed for AI-based Policy-Making
ICML 2024
User-Creator Feature Polarization in Recommender Systems with Dual Influence
NeurIPS 2024
Learning from Rich Semantics and Coarse Locations for Long-tailed Object Detection
NeurIPS 2023
Learning When to Advise Human Decision Makers
IJCAI 2023
Sample Complexity of Forecast Aggregation
NeurIPS 2023
Peer Prediction for Learning Agents
NeurIPS 2022
Cooperation in Threshold Public Projects with Binary Actions
IJCAI 2021
Learning Strategy-Aware Linear Classifiers
NeurIPS 2020
Truthful Data Acquisition via Peer Prediction
NeurIPS 2020
Randomized Wagering Mechanisms
AAAI 2019
A Bandit Framework for Strategic Regression
NeurIPS 2016
Eliciting Categorical Data for Optimal Aggregation
NeurIPS 2016
Learning to Incentivize: Eliciting Effort via Output Agreement
IJCAI 2016
Bonus or Not? Learn to Reward in Crowdsourcing
IJCAI 2015