306 citations · 2.8k across the 181 of their papers we have counts for
4 papers · 1 filter
Robustness and Generalization
Huan Xu, Shie Mannor
We derive generalization bounds for learning algorithms based on their robustness: the property that if a testing sample is "similar" to a training sample, then the testing error i…
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…
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…
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…