14 citations · 22 across the 4 of their papers we have counts for
Showing cs.LGShow all
2 papers · 1 filter
cs.LG2020
Learning High Order Feature Interactions with Fine Control Kernels
Hristo Paskov, Alex Paskov, Robert West
We provide a methodology for learning sparse statistical models that use as features all possible multiplicative interactions among an underlying atomic set of features. While the…
cs.LG2015★ 1 cited
Data Representation and Compression Using Linear-Programming Approximations
Hristo S. Paskov, John C. Mitchell, Trevor J. Hastie
We propose `Dracula', a new framework for unsupervised feature selection from sequential data such as text. Dracula learns a dictionary of -grams that efficiently compresses a g…