Jake Fawkes

According to our database, Jake Fawkes authored at least 5 papers between 2022 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2023

Predicting disease onset from electronic health records for population health management: a scalable and explainable Deep Learning approach.

Robert Grout, Rishab Gupta, Ruby Bryant, Mawada A. Elmahgoub, Yijie Li, Khushbakht Irfanullah, Rahul F. Patel, Jake Fawkes, Catherine Inness

Frontiers Artif. Intell., February, 2023

Results on Counterfactual Invariance.

Jake Fawkes, Robin J. Evans

CoRR, 2023

Returning The Favour: When Regression Benefits From Probabilistic Causal Knowledge.

Shahine Bouabid, Jake Fawkes, Dino Sejdinovic

Proceedings of the International Conference on Machine Learning, 2023

2022

Doubly Robust Kernel Statistics for Testing Distributional Treatment Effects Even Under One Sided Overlap.

Jake Fawkes, Robert Hu, Robin J. Evans, Dino Sejdinovic

CoRR, 2022

Selection, Ignorability and Challenges With Causal Fairness.

Jake Fawkes, Robin J. Evans, Dino Sejdinovic

Proceedings of the 1st Conference on Causal Learning and Reasoning, 2022