Ryan Carey

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 25

Top Topics

Influence Diagrams

Weighted Majority

Hopfield Network

Top Venues

Publications

Zhishang Luo, Truong Son Hy, Puoya Tabaghi, Donghyeon Koh, Michaël Defferrard, Elahe Rezaei, Ryan Carey, W. Rhett Davis, Rajeev Jain, Yusu Wang
DE-HNN: An effective neural model for Circuit Netlist representation. CoRR (2024)
Chenhui Deng, Zichao Yue, Cunxi Yu, Gokce Sarar, Ryan Carey, Rajeev Jain, Zhiru Zhang
Less is More: Hop-Wise Graph Attention for Scalable and Generalizable Learning on Circuits. CoRR (2024)
Lewis Hammond, James Fox, Tom Everitt, Ryan Carey, Alessandro Abate, Michael J. Wooldridge
Reasoning about Causality in Games (Abstract Reprint). AAAI (2024)
Zhishang Luo, Truong Son Hy, Puoya Tabaghi, Michaël Defferrard, Elahe Rezaei, Ryan Carey, W. Rhett Davis, Rajeev Jain, Yusu Wang
DE-HNN: An effective neural model for Circuit Netlist representation. AISTATS (2024)
Ryan Carey, Tom Everitt
Human Control: Definitions and Algorithms. UAI (2023)
Lewis Hammond, James Fox, Tom Everitt, Ryan Carey, Alessandro Abate, Michael J. Wooldridge
Reasoning about Causality in Games. CoRR (2023)
Animesh Basak Chowdhury, Benjamin Tan, Ryan Carey, Tushit Jain, Ramesh Karri, Siddharth Garg
Bulls-Eye: Active Few-Shot Learning Guided Logic Synthesis. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42 (8) (2023)
Lewis Hammond, James Fox, Tom Everitt, Ryan Carey, Alessandro Abate, Michael J. Wooldridge
Reasoning about causality in games. Artif. Intell. 320 (2023)
Ryan Carey, Tom Everitt
Human Control: Definitions and Algorithms. CoRR (2023)
Animesh Basak Chowdhury, Benjamin Tan, Ryan Carey, Tushit Jain, Ramesh Karri, Siddharth Garg
Too Big to Fail? Active Few-Shot Learning Guided Logic Synthesis. CoRR (2022)
Chris van Merwijk, Ryan Carey, Tom Everitt
A Complete Criterion for Value of Information in Soluble Influence Diagrams. CoRR (2022)
Chris van Merwijk, Ryan Carey, Tom Everitt
A Complete Criterion for Value of Information in Soluble Influence Diagrams. AAAI (2022)
Carolyn Ashurst, Ryan Carey, Silvia Chiappa, Tom Everitt
Why Fair Labels Can Yield Unfair Predictions: Graphical Conditions for Introduced Unfairness. CoRR (2022)
Sebastian Farquhar, Ryan Carey, Tom Everitt
Path-Specific Objectives for Safer Agent Incentives. AAAI (2022)
Carolyn Ashurst, Ryan Carey, Silvia Chiappa, Tom Everitt
Why Fair Labels Can Yield Unfair Predictions: Graphical Conditions for Introduced Unfairness. AAAI (2022)
Sebastian Farquhar, Ryan Carey, Tom Everitt
Path-Specific Objectives for Safer Agent Incentives. CoRR (2022)
James Fox, Tom Everitt, Ryan Carey, Eric D. Langlois, Alessandro Abate, Michael J. Wooldridge
PyCID: A Python Library for Causal Influence Diagrams. SciPy (2021)
Tom Everitt, Ryan Carey, Eric D. Langlois, Pedro A. Ortega, Shane Legg
Agent Incentives: A Causal Perspective. CoRR (2021)
Tom Everitt, Ryan Carey, Eric D. Langlois, Pedro A. Ortega, Shane Legg
Agent Incentives: A Causal Perspective. AAAI (2021)
Vojtech Kovarík, Ryan Carey
(When) Is Truth-telling Favored in AI Debate? SafeAI@AAAI (2020)
Ryan Carey, Eric D. Langlois, Tom Everitt, Shane Legg
The Incentives that Shape Behaviour. CoRR (2020)
Vojtech Kovarík, Ryan Carey
(When) Is Truth-telling Favored in AI Debate? CoRR (2019)
Ryan Carey
Incorrigibility in the CIRL Framework. AIES (2018)
Ryan Carey, Matthijs Maas, Nell Watson, Roman Yampolskiy
Editors' Introduction to the Special Issue on "Superintelligence". Informatica (Slovenia) 41 (4) (2017)
Ryan Carey
Incorrigibility in the CIRL Framework. CoRR (2017)