We describe cases where real recommender systems were modified in the se...
High-quality estimates of uncertainty and robustness are crucial for num...
Causal models could increase interpretability, robustness to distributio...
One promising approach to dealing with datapoints that are outside of th...
In medicine, both ethical and monetary costs of incorrect predictions ca...
The reliability of a machine learning model's confidence in its predicti...
Deep learning has shown that learned functions can dramatically outperfo...
Deep learning has shown that learned functions can dramatically outperfo...