One assumption underlying the unbiasedness of global treatment effect
es...
In online platforms, the impact of a treatment on an observed outcome ma...
The conclusions of randomized controlled trials may be biased when the
o...
Online learning via Bayes' theorem allows new data to be continuously
in...
Under-reporting of count data poses a major roadblock for prediction and...
This paper offers a precise, formal definition of an audio-to-score
alig...
Checkpointing enables training deep learning models under restricted mem...
We study the problem of estimating the distribution of effect sizes (the...