17 citations · 61 across the 9 of their papers we have counts for
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cs.LG2016
Sketching and Neural Networks
Amit Daniely, Nevena Lazic, Yoram Singer +1
High-dimensional sparse data present computational and statistical challenges for supervised learning. We propose compact linear sketches for reducing the dimensionality of the inp…
cs.LG2016
Distribution Free Learning with Local Queries
Galit Bary-Weisberg, Amit Daniely, Shai Shalev-Shwartz
The model of learning with \emph{local membership queries} interpolates between the PAC model and the membership queries model by allowing the learner to query the label of any exa…