In recent years, there has been a growing interest in statistical method...
Since distribution shifts are common in real-world applications, there i...
Extrapolation is crucial in many statistical and machine learning
applic...
In a nonparametric setting, the causal structure is often identifiable o...
Double-blind conferences have engaged in debates over whether to allow
a...
In a modern power system, real-time data on power generation/consumption...
Fithian and Hastie (2014) proposed a new sampling scheme called local
ca...
Learning disentanglement aims at finding a low dimensional representatio...