Now showing items 61-62 of 62
New formulations for active learning
(Georgia Institute of Technology, 2014-01-10)
In this thesis, we provide computationally efficient algorithms with provable statistical guarantees, for the problem of active learning, by using ideas from sequential analysis. We provide a generic algorithmic framework ...
Learning matrix and functional models in high-dimensions
(Georgia Institute of Technology, 2014-06-20)
Statistical machine learning methods provide us with a principled framework for extracting meaningful information from noisy high-dimensional data sets. A significant feature of such procedures is that the inferences made ...