Ph.D. student Boris van Breugel explains how the inaccessibility of healthcare data continues to exert a dampening effect on potentially groundbreaking research in areas like machine learning. After introducing synthetic data generation as a powerful solution to this problem, he explains how synthetic approaches can also lead to datasets that are fairer and more useful than their real-world counterparts. Boris presents DECAF, an approach to generating fair synthetic data using causal knowledge.
Learn more about this event and the lab's research: https://www.vanderschaar-lab.com/open...
The lab's publications are here: https://www.vanderschaar-lab.com/publ...
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