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Books and Theses
- 2017
[b1]Andrew Forney:
A Framework for Empirical Counterfactuals, or For All Intents, a Purpose. University of California, Los Angeles, USA, 2017
Journal Articles
- 2015
- [j1]Richard L. Gilbert, Andrew Forney
:
Can avatars pass the Turing test? Intelligent agent perception in a 3D virtual environment. Int. J. Hum. Comput. Stud. 73: 30-36 (2015)
Conference and Workshop Papers
- 2024
- [c7]Abraham Moore Odell, Andrew Forney, Adrienne Raglin, Sunny Basak, Peter Khooshabeh:
When to Observe or Act? Interpretable and Causal Recommendations in Time-Sensitive Dilemmas. HCI (62) 2024: 104-113 - 2023
- [c6]Maya Epps, Lucille Njoo, Chéla Willey, Andrew Forney:
Adapting Abstractive Summarization to Court Examinations in a Zero-Shot Setting: A Short Technical Paper. AI4AJ@ICAIL 2023 - 2022
- [c5]Axel Browne, Andrew Forney:
Exploiting Causal Structure for Transportability in Online, Multi-Agent Environments. AAMAS 2022: 199-207 - 2020
- [c4]Lauren Alvarez, Sofia Ruiz, Sureena Hukkoo, Andrew Forney:
Bias Clustering for Online Political Articles. SIGCSE 2020: 1424 - 2019
- [c3]Andrew Forney, Elias Bareinboim:
Counterfactual Randomization: Rescuing Experimental Studies from Obscured Confounding. AAAI 2019: 2454-2461 - 2017
- [c2]Andrew Forney, Judea Pearl, Elias Bareinboim:
Counterfactual Data-Fusion for Online Reinforcement Learners. ICML 2017: 1156-1164 - 2015
- [c1]Elias Bareinboim, Andrew Forney, Judea Pearl:
Bandits with Unobserved Confounders: A Causal Approach. NIPS 2015: 1342-1350
Coauthor Index
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