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Jake Fawkes
Jake Fawkes
University Of Oxford
E-mail confirmado em stats.ox.ac.uk
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Selection, Ignorability and Challenges With Causal Fairness
J Fawkes, RJ Evans, D Sejdinovic
Conference on Causal Learning and Reasoning 177, 275-289, 2022
172022
Doubly Robust Kernel Statistics for Testing Distributional Treatment Effects
J Fawkes, R Hu, RJ Evans, D Sejdinovic
Transactions on Machine Learning Research, 2024
7*2024
Predicting disease onset from electronic health records for population health management: a scalable and explainable Deep Learning approach
R Grout, R Gupta, R Bryant, MA Elmahgoub, Y Li, K Irfanullah, RF Patel, ...
Frontiers in Artificial Intelligence 6, 1287541, 2024
42024
Results on Counterfactual Invariance
J Fawkes, RJ Evans
ICML 2023 Workshop on Spurious Correlations, Invariance and Stability, 2023
32023
The Fragility of Fairness: Causal Sensitivity Analysis for Fair Machine Learning
J Fawkes*, N Fishman*, M Andrews, ZC Lipton
Advances in Neural Information Processing Systems 37, 2024
12024
Is merging worth it? Securely evaluating the information gain for causal dataset acquisition
J Fawkes*, L Ter-Minassian*, D Ivanova, U Shalit, C Holmes
The 28th International Conference on Artificial Intelligence and Statistics, 2024
2024
The Role of Learning Algorithms in Collective Action
O Ben-Dov*, J Fawkes*, S Samadi, A Sanyal
International Conference of Machine Learning, 2024
2024
Returning The Favour: When Regression Benefits From Probabilistic Causal Knowledge
S Bouabid*, J Fawkes*, D Sejdinovic
International Conference of Machine Learning 202, 2885--2913, 2023
2023
The Hardness of Validating Observational Studies with Experimental Data
J Fawkes, M O'Riordan, A Vlontzos, O Corcoll, CM Gilligan-Lee
The 28th International Conference on Artificial Intelligence and Statistics, 0
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