26 citations · 35 across the 2 of their papers we have counts for
2 papers
cs.LG2013★ 26 cited
Margins, Shrinkage, and Boosting
Matus Telgarsky
This manuscript shows that AdaBoost and its immediate variants can produce approximate maximum margin classifiers simply by scaling step size choices with a fixed small constant. I…
cs.LG2013★ 9 cited
Dirichlet draws are sparse with high probability
Matus Telgarsky
This note provides an elementary proof of the folklore fact that draws from a Dirichlet distribution (with parameters less than 1) are typically sparse (most coordinates are small)…