74 citations · 108 across the 3 of their papers we have counts for
3 papers
cs.LG2010★ 1 cited
Adaptive Bases for Reinforcement Learning
Dotan Di Castro, Shie Mannor
We consider the problem of reinforcement learning using function approximation, where the approximating basis can change dynamically while interacting with the environment. A motiv…
cs.LG2010★ 74 cited
Learning from Multiple Outlooks
Maayan Harel, Shie Mannor
We propose a novel problem formulation of learning a single task when the data are provided in different feature spaces. Each such space is called an outlook, and is assumed to con…
stat.ML2010★ 33 cited
Principal Component Analysis with Contaminated Data: The High Dimensional Case
Huan Xu, Constantine Caramanis, Shie Mannor
We consider the dimensionality-reduction problem (finding a subspace approximation of observed data) for contaminated data in the high dimensional regime, where the number of obser…