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cs.LG2023
Cause-Effect Inference in Location-Scale Noise Models: Maximum Likelihood vs. Independence Testing
Xiangyu Sun, Oliver Schulte
A fundamental problem of causal discovery is cause-effect inference, learning the correct causal direction between two random variables. Significant progress has been made through…
cs.LG2020★ 20 cited
Cracking the Black Box: Distilling Deep Sports Analytics
Xiangyu Sun, Jack Davis, Oliver Schulte +1
This paper addresses the trade-off between Accuracy and Transparency for deep learning applied to sports analytics. Neural nets achieve great predictive accuracy through deep learn…