27 citations · 149 across the 34 of their papers we have counts for
4 papers · 1 filter
A Hierarchical Spectral Method for Extreme Classification
Paul Mineiro, Nikos Karampatziakis
Extreme classification problems are multiclass and multilabel classification problems where the number of outputs is so large that straightforward strategies are neither statistica…
Fast Label Embeddings for Extremely Large Output Spaces
Paul Mineiro, Nikos Karampatziakis
Many modern multiclass and multilabel problems are characterized by increasingly large output spaces. For these problems, label embeddings have been shown to be a useful primitive…
Learning Reductions that Really Work
Alina Beygelzimer, Hal Daumé, John Langford +1
We provide a summary of the mathematical and computational techniques that have enabled learning reductions to effectively address a wide class of problems, and show that this appr…
Scalable Multilabel Prediction via Randomized Methods
Nikos Karampatziakis, Paul Mineiro
Modeling the dependence between outputs is a fundamental challenge in multilabel classification. In this work we show that a generic regularized nonlinearity mapping independent pr…