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Jake Fawkes
Observed name:
Fawkes, Jake
Institution:
University College London
Observed institutions:
University of Oxford,
University College London
ORCID:
0009-0001-7619-4580
Observed ORCID:
0009-0001-7619-4580
OpenAlex ID:
A5016165083
Predicting disease onset from electronic health records for population health management: a scalable and explainable Deep Learning approach
2024
·
Robert Grout
, Rishab Gupta
, et al.
·
Frontiers in Artificial Intelligence
·
39
PDF
The Fragility of Fairness: Causal Sensitivity Analysis for Fair Machine Learning
2024
·
Jake Fawkes
, Nic Fishman
, et al.
·
neural information processing systems
·
6
PDF
Doubly Robust Kernel Statistics for Testing Distributional Treatment Effects
2022
·
Fawkes, Jake
, Hu, Robert
, et al.
·
arXiv (Cornell University)
·
6
PDF
$f$-Trajectory Balance: A Loss Family for Tuning GFlowNets, Generative Models, and LLMs with Off- and On-Policy Data
2026
·
Fawkes, Jake
, Hartford, Jason
·
arXiv (Cornell University)
·
4
PDF
Results on Counterfactual Invariance
2023
·
Fawkes, Jake
, Evans, Robin J.
·
arXiv (Cornell University)
·
4
PDF
Selection, Ignorability and Challenges With Causal Fairness
2022
·
Fawkes, Jake
, Evans, Robin
, et al.
·
arXiv (Cornell University)
·
4
PDF
Causal-EPIG: A Prediction-Oriented Active Learning Framework for CATE Estimation
2025
·
Gao, Erdun
, Fawkes, Jake
, et al.
·
arXiv (Cornell University)
·
3
PDF
The Hardness of Validating Observational Studies with Experimental Data
2025
·
Fawkes, Jake
, O'Riordan, Michael
, et al.
·
arXiv (Cornell University)
·
3
PDF
Towards Autonomous Mechanistic Reasoning in Virtual Cells
2026
·
Jang, Yunhui
, Zhu, Lu
, et al.
·
arXiv (Cornell University)
·
2
PDF
Observationally Informed Adaptive Causal Experimental Design
2026
·
Gao, Erdun
, Zhang, Liang
, et al.
·
arXiv (Cornell University)
·
1
PDF
Is merging worth it? Securely evaluating the information gain for causal dataset acquisition
2024
·
Fawkes, Jake
, Ter-Minassian, Lucile
, et al.
·
arXiv (Cornell University)
·
1
PDF
The Role of Learning Algorithms in Collective Action
2024
·
Ben-Dov, Omri
, Fawkes, Jake
, et al.
·
arXiv (Cornell University)
·
1
PDF
Causal Discovery Grounding and the Naturalness Assumption
2026
·
Soares, Guilherme P.
, Koukorinis, Andreas
, et al.
·
arXiv (Cornell University)
PDF
Observationally Informed Adaptive Causal Experimental Design
2026
·
Erdun Gao
, Liang Zhang
, et al.
·
ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)
Towards Structured Mechanistic Reasoning in Single-cell Prediction
2026
·
Yunhui Jang
, Lu Zhu
, et al.
·
Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP)
PDF
Returning The Favour: When Regression Benefits From Probabilistic Causal Knowledge
2023
·
Bouabid, Shahine
, Fawkes, Jake
, et al.
·
arXiv (Cornell University)
PDF
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Works count:
16
Citation count:
74
H-index:
4
I10-index:
1
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