We study a generalization of boosting to the multiclass setting. We intr...
We study an abstract framework for interactive learning called interacti...
In the framework of online convex optimization, most iterative algorithm...
A seminal result in learning theory characterizes the PAC learnability o...
We study efficient algorithms for reinforcement learning in Markov decis...
We consider the problem of online boosting for regression tasks, when on...
Boosting is a widely used machine learning approach based on the idea of...
We propose a framework of boosting for learning and control in environme...
We introduce a method for following high-level navigation instructions b...
Many machine learning problems require the prediction of multi-dimension...