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stat.ML2020
Block-wise Minimization-Majorization algorithm for Huber's criterion: sparse learning and applications
Esa Ollila, Ammar Mian
Huber's criterion can be used for robust joint estimation of regression and scale parameters in the linear model. Huber's (Huber, 1981) motivation for introducing the criterion ste…
stat.ML2020
A Compressive Classification Framework for High-Dimensional Data
Muhammad Naveed Tabassum, Esa Ollila
We propose a compressive classification framework for settings where the data dimensionality is significantly higher than the sample size. The proposed method, referred to as compr…