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Journal Articles
- 2024
[j1]Ciarán M. Gilligan-Lee
, Christopher Hart, Jonathan G. Richens, Saurabh Johri:
Leveraging Directed Causal Discovery to Detect Latent Common Causes in Cause-Effect Pairs. IEEE Trans. Neural Networks Learn. Syst. 35(4): 4938-4947 (2024)
Conference and Workshop Papers
- 2022
- [c2]Jonathan G. Richens, Rory Beard, Daniel H. Thompson:
Counterfactual harm. NeurIPS 2022 - 2019
- [c1]Yura Perov, Logan Graham, Kostis Gourgoulias, Jonathan G. Richens, Ciarán M. Lee, Adam Baker, Saurabh Johri:
MultiVerse: Causal Reasoning using Importance Sampling in Probabilistic Programming. AABI 2019: 1-36
Informal and Other Publications
- 2022
- [i5]Jonathan G. Richens, Rory Beard, Daniel H. Thompson:
First do no harm: counterfactual objective functions for safe & ethical AI. CoRR abs/2204.12993 (2022) - 2020
- [i4]Albert Buchard, Baptiste Bouvier, Giulia Prando, Rory Beard, Michail Livieratos, Dan Busbridge, Daniel H. Thompson, Jonathan G. Richens, Yuanzhao Zhang, Adam Baker, Yura Perov, Kostis Gourgoulias, Saurabh Johri:
Learning medical triage from clinicians using Deep Q-Learning. CoRR abs/2003.12828 (2020) - 2019
- [i3]Jonathan G. Richens, Ciarán M. Lee, Saurabh Johri:
Counterfactual diagnosis. CoRR abs/1910.06772 (2019) - [i2]Yura Perov, Logan Graham, Kostis Gourgoulias, Jonathan G. Richens, Ciarán M. Lee, Adam Baker, Saurabh Johri:
MultiVerse: Causal Reasoning using Importance Sampling in Probabilistic Programming. CoRR abs/1910.08091 (2019) - [i1]Ciarán M. Lee, Christopher Hart, Jonathan G. Richens, Saurabh Johri:
Leveraging directed causal discovery to detect latent common causes. CoRR abs/1910.10174 (2019)
Coauthor Index
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