This paper introduces a prognostic method called FLASH that addresses th...
We consider a supervised learning setup in which the goal is to predicts...
We address the problem of learning the dynamics of an unknown non-parame...
With the increased availability of large health databases comes the
oppo...
Individual Treatment Effects (ITE) estimation methods have risen in
popu...
Background: Choosing the most performing method in terms of outcome
pred...
Determining significant prognostic biomarkers is of increasing importanc...
With the increased availability of large databases of electronic health
...
The problems of outliers detection and robust regression in a
high-dimen...
This paper deals with the problem of large-scale linear supervised learn...
We introduce a mixture model for censored durations (C-mix), and develop...
We introduce a doubly stochastic proximal gradient algorithm for optimiz...
We consider the problem of learning the inhomogeneous intensity of a cou...