Yiling Chen
21 papers · 2015–2025 · 5 conferences · across top CS/AI conferences
Achievements
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🐝 Cross-Pollinator (15) 🏃 Academic Marathon (10) 🧭 Keyword Pioneer 🌍 Conference Polyglot (5) 🌈 Renaissance Researcher (5)
🐣
Hot Topic Early Bird
🌍
Conference Polyglot
(5)
🏃
Academic Marathon
(10)
🧬
Topic Evolution
🏆
Grand Slam
🏆
Keyword Champion
(3)
🔥
Unstoppable
(7)
⚡
Prolific Year
(7)
🚀
Conference Pioneer
💎
Century Club
(21)
❓
The Questioner
🗃️
Keyword Collector
(74)
Conferences
NIPS (10)
ICML (4)
IJCAI (4)
ICLR (2)
AAAI (1)
Top co-authors
Keywords
mechanism design
(5)
bayesian inference
(3)
peer prediction
(3)
truthful reporting
(2)
bayesian nash equilibrium
(2)
game theory
(2)
multi-armed bandit
(2)
sample complexity
(1)
feature representation
(1)
weakly supervised learning
(1)
signaling games
(1)
class imbalance
(1)
reinforcement learning from human feedback
(1)
bayesian model
(1)
object detection
(1)
user modeling
(1)
belief updating
(1)
interactive systems
(1)
incentive mechanism
(1)
mutual information
(1)
Papers
Generalized Principal-Agent Problem with a Learning Agent
ICLR 2025
Strategic Classification With Externalities
ICLR 2025
Multi-Sender Persuasion: A Computational Perspective
ICML 2024
Bias Detection via Signaling
NIPS 2024
Carrot and Stick: Eliciting Comparison Data and Beyond
NIPS 2024
User-Creator Feature Polarization in Recommender Systems with Dual Influence
NIPS 2024
Equilibrium of Data Markets with Externality
ICML 2024
A Persuasive Approach to Combating Misinformation
ICML 2024
Position: Social Environment Design Should be Further Developed for AI-based Policy-Making
ICML 2024
Sample Complexity of Forecast Aggregation
NIPS 2023
Learning When to Advise Human Decision Makers
IJCAI 2023
Learning from Rich Semantics and Coarse Locations for Long-tailed Object Detection
NIPS 2023
Peer Prediction for Learning Agents
NIPS 2022
Cooperation in Threshold Public Projects with Binary Actions
IJCAI 2021
Learning Strategy-Aware Linear Classifiers
NIPS 2020
Truthful Data Acquisition via Peer Prediction
NIPS 2020
Randomized Wagering Mechanisms
AAAI 2019
Learning to Incentivize: Eliciting Effort via Output Agreement
IJCAI 2016
Eliciting Categorical Data for Optimal Aggregation
NIPS 2016
A Bandit Framework for Strategic Regression
NIPS 2016
Bonus or Not? Learn to Reward in Crowdsourcing
IJCAI 2015