Interesting papers at ICML 2014 – Machine Learning (Theory)

This year’s ICML had several papers which I want to read through more carefully and understand better. Chun-Liang Li, Hsuan-Tien Lin, Condensed Filter Tree for Cost-Sensitive Multi-Label Classification. Several tricks accumulate to give a new approach for addressing cost sensitive multilabel classification. Nikos Karampatziakis and Paul Mineiro, Discriminative Features via Generalized Eigenvectors