230 citations · 256 across the 3 of their papers we have counts for
3 papers
Bayesian Reinforcement Learning: A Survey
Mohammad Ghavamzadeh, Shie Mannor, Joelle Pineau +1
Bayesian methods for machine learning have been widely investigated, yielding principled methods for incorporating prior information into inference algorithms. In this survey, we p…
Ensemble Robustness and Generalization of Stochastic Deep Learning Algorithms
Tom Zahavy, Bingyi Kang, Alex Sivak +3
The question why deep learning algorithms generalize so well has attracted increasing research interest. However, most of the well-established approaches, such as hypothesis capaci…
Robust approachability and regret minimization in games with partial monitoring
Shie Mannor, Vianney Perchet, Gilles Stoltz
Approachability has become a standard tool in analyzing earning algorithms in the adversarial online learning setup. We develop a variant of approachability for games where there i…