no code implementations • ICML 2017 • Olivier Bachem, Mario Lucic, S. Hamed Hassani, Andreas Krause
In this paper, we provide a novel framework to obtain uniform deviation bounds for loss functions which are unbounded.
no code implementations • 27 Feb 2017 • Olivier Bachem, Mario Lucic, S. Hamed Hassani, Andreas Krause
In this paper, we provide a novel framework to obtain uniform deviation bounds for loss functions which are *unbounded*.
no code implementations • 24 May 2016 • Yuxin Chen, S. Hamed Hassani, Andreas Krause
We consider the Bayesian active learning and experimental design problem, where the goal is to learn the value of some unknown target variable through a sequence of informative, noisy tests.