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Caleb Ellington
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Multi-task learning of order-consistent causal graphs
X Chen, H Sun, C Ellington, E Xing, L Song
Advances in Neural Information Processing Systems 34, 11083-11095, 2021
122021
Automated interpretable discovery of heterogeneous treatment effectiveness: A COVID-19 case study
BJ Lengerich, ME Nunnally, Y Aphinyanaphongs, C Ellington, R Caruana
Journal of biomedical informatics 130, 104086, 2022
62022
Contextualized machine learning
B Lengerich, CN Ellington, A Rubbi, M Kellis, EP Xing
arXiv preprint arXiv:2310.11340, 2023
22023
Contextualized Policy Recovery: Modeling and Interpreting Medical Decisions with Adaptive Imitation Learning
J Deuschel, CN Ellington, BJ Lengerich, Y Luo, P Friederich, EP Xing
arXiv preprint arXiv:2310.07918, 2023
12023
NOTMAD: Estimating Bayesian Networks with Sample-Specific Structures and Parameters
B Lengerich, C Ellington, B Aragam, EP Xing, M Kellis
arXiv preprint arXiv:2111.01104, 2021
12021
AttentionPert: Accurately Modeling Multiplexed Genetic Perturbations with Multi-scale Effects
D Bai, C Ellington, S Mo, L Song, E Xing
bioRxiv, 2024.02. 02.578656, 2024
2024
Machine Learning for Health (ML4H) 2023
S Hegselmann, A Parziale, D Shanmugam, S Tang, K Severson, ...
Machine Learning for Health (ML4H), 1-12, 2023
2023
Contextualized Policy Recovery: Modeling and Interpreting Medical Decisions with Adaptive Imitation Learning
C Ellington, J Deuschel, B Lengerich, Y Luo, P Friederich, E Xing
2023
Contextualized Networks Reveal Heterogeneous Transcriptomic Regulation in Tumors at Sample-Specific Resolution
CN Ellington, BJ Lengerich, TBK Watkins, J Yang, H Xiao, M Kellis, ...
bioRxiv, 2023.12. 01.569658, 2023
2023
Recent Advances, Applications and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2022 Symposium
S Hegselmann, H Zhou, Y Zhou, J Chien, S Nagaraj, N Hulkund, S Bhave, ...
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