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2020 – today
- 2026
[i8]Joshua Caiata, Carter Blair, Kate Larson:
Procedural Fairness in Multi-Agent Bandits. CoRR abs/2601.10600 (2026)- [i7]Carter Blair, Ben Armstrong, Shiri Alouf-Heffetz, Nimrod Talmon, Davide Grossi:
Probably Approximately Consensus: On the Learning Theory of Finding Common Ground. CoRR abs/2604.21811 (2026) - 2025
- [j1]Carter Blair
, Xiyao Wang, Charles Perin:
Quantifying Emotional Responses to Immutable Data Characteristics and Designer Choices in Data Visualizations. IEEE Trans. Vis. Comput. Graph. 31(1): 1006-1016 (2025) - [c2]Carter Blair, Kate Larson, Edith Law:
Reflective Verbal Reward Design for Pluralistic Alignment. IJCAI 2025: 10271-10279 - [i6]Carter Blair, Kate Larson, Edith Law:
Reflective Verbal Reward Design for Pluralistic Alignment. CoRR abs/2506.17834 (2025) - [i5]Carter Blair, Kate Larson:
Generating Fair Consensus Statements with Social Choice on Token-Level MDPs. CoRR abs/2510.14106 (2025) - 2024
- [c1]Carter Blair, Ben Armstrong, Kate Larson:
Liquid Ensemble Selection for Continual Learning. Canadian AI 2024 - [i4]Carter Blair, Ben Armstrong, Kate Larson:
Liquid Ensemble Selection for Continual Learning. CoRR abs/2405.07327 (2024) - [i3]Atrisha Sarkar, Andrei Ioan Muresanu, Carter Blair, Aaryam Sharma, Rakshit S. Trivedi, Gillian K. Hadfield:
Normative Modules: A Generative Agent Architecture for Learning Norms that Supports Multi-Agent Cooperation. CoRR abs/2405.19328 (2024) - [i2]Carter Blair, Xiyao Wang, Charles Perin:
Quantifying Emotional Responses to Immutable Data Characteristics and Designer Choices in Data Visualizations. CoRR abs/2407.18427 (2024) - [i1]Carter Blair, Kate Larson, Edith Law:
Democratizing Reward Design for Personal and Representative Value-Alignment. CoRR abs/2410.22203 (2024)
Coauthor Index
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