9 citations · 9 across the 2 of their papers we have counts for
2 papers
cs.LG2012
Discriminative Learning via Semidefinite Probabilistic Models
Koby Crammer, Amir Globerson
Discriminative linear models are a popular tool in machine learning. These can be generally divided into two types: The first is linear classifiers, such as support vector machines…
cs.LG2012★ 9 cited
Adaptive Regularization for Weight Matrices
Koby Crammer, Gal Chechik
Algorithms for learning distributions over weight-vectors, such as AROW were recently shown empirically to achieve state-of-the-art performance at various problems, with strong the…