| 2024 | AAAI | Reasoning about Causality in Games (Abstract Reprint). | Lewis Hammond, James Fox, Tom Everitt, Ryan Carey, Alessandro Abate, Michael J. Wooldridge |
| 2024 | AISTATS | DE-HNN: An effective neural model for Circuit Netlist representation. | Zhishang Luo, Truong Son Hy, Puoya Tabaghi, Michal Defferrard, Elahe Rezaei, Ryan Carey, W. Rhett Davis, Rajeev Jain, Yusu Wang |
| 2024 | DAC | Less is More: Hop-Wise Graph Attention for Scalable and Generalizable Learning on Circuits. | Chenhui Deng, Zichao Yue, Cunxi Yu, Gokce Sarar, Ryan Carey, Rajeev Jain, Zhiru Zhang |
| 2023 | UAI | Human Control: Definitions and Algorithms. | Ryan Carey, Tom Everitt |
| 2022 | AAAI | Why Fair Labels Can Yield Unfair Predictions: Graphical Conditions for Introduced Unfairness. | Carolyn Ashurst, Ryan Carey, Silvia Chiappa, Tom Everitt |
| 2022 | AAAI | Path-Specific Objectives for Safer Agent Incentives. | Sebastian Farquhar, Ryan Carey, Tom Everitt |
| 2022 | AAAI | A Complete Criterion for Value of Information in Soluble Influence Diagrams. | Chris van Merwijk, Ryan Carey, Tom Everitt |
| 2021 | AAAI | Agent Incentives: A Causal Perspective. | Tom Everitt, Ryan Carey, Eric D. Langlois, Pedro A. Ortega, Shane Legg |
| 2020 | AAAI | (When) Is Truth-telling Favored in AI Debate? | Vojtech Kovark, Ryan Carey |
| 2018 | AIES | Incorrigibility in the CIRL Framework. | Ryan Carey |