Drug discovery under covariate shift with domain-informed prior distributions over functions
Accelerating the discovery of novel and more effective therapeutics is an important pharmaceutical problem in which deep learning is playing an increasingly significant role. However, real-world drug discovery tasks are often characterized by a scarcity of labeled data and significant covariate shif...
Main Authors: | , , , , , , |
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Other Authors: | |
Format: | Conference item |
Language: | English |
Published: |
Journal of Machine Learning Research
2023
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