Paying Crowd Workers for Collaborative Work. - Greg d'Eon; Joslin Goh; Kate Larson; Edith Law (Proc. ACM Hum. Comput. Interact., 2019)

Testing Axioms Against Human Reward Divisions in Cooperative Games. - Greg d'Eon; Kate Larson (AAMAS, 2020)

KeyMap: Improving Keyboard Shortcut Vocabulary Using Norman's Mapping. - Blaine Lewis; Greg d'Eon; Andy Cockburn; Daniel Vogel 001 (CHI, 2020)

Improving Virtual Reality Ergonomics Through Reach-Bounded Non-Linear Input Amplification. - Johann Wentzel; Greg d'Eon; Daniel Vogel 001 (CHI, 2020)

The Spotlight: A General Method for Discovering Systematic Errors in Deep Learning Models. - Greg d'Eon; Jason d'Eon; James R. Wright; Kevin Leyton-Brown (FAccT, 2022)

Better Peer Grading through Bayesian Inference. - Hedayat Zarkoob; Greg d'Eon; Lena Podina; Kevin Leyton-Brown (AAAI, 2023)

Loss Functions for Behavioral Game Theory. - Greg d'Eon; Sophie Greenwood; Kevin Leyton-Brown; James R. Wright (CoRR, 2023)

How to Evaluate Behavioral Models. - Greg d'Eon; Sophie Greenwood; Kevin Leyton-Brown; James R. Wright (AAAI, 2024)

Understanding Iterative Combinatorial Auction Designs via Multi-Agent Reinforcement Learning. - Greg d'Eon; Neil Newman; Kevin Leyton-Brown (EC, 2024)

ElementaryNet: A Non-Strategic Neural Network for Predicting Human Behavior in Normal-Form Games. - Greg d'Eon; Hala Murad; Kevin Leyton-Brown; James R. Wright (CoRR, 2025)