App-based N-of-1 trials offer a scalable experimental design for assessi...
We consider the problem of estimating a scalar target parameter in the
p...
We propose a novel, fully nonparametric approach for the multi-task lear...
Strategic test allocation plays a major role in the control of both emer...
Several recently developed methods have the potential to harness machine...
In this work, we introduce the Personalized Online Super Learner (POSL) ...
The current work is motivated by the need for robust statistical methods...
Targeted Learning is a subfield of statistics that unifies advances in c...
We study the problem of off-policy evaluation (OPE) in Reinforcement Lea...
Consider the case that one observes a single time-series, where at each ...