James Holt

Simpler Methods Work Better for L1 Penalized Logistic Models and Large Datasets

This work test several proposed ``state-of-the-art''solutions from the literature and find that older methods are currently far superior for general use, and finds that a new and simple baseline, using LBFGS on a sub-gradient, is highly effective with minor tweaks, despite being dismissed in the literature for theoreti...

Bolstering Binary Datasets for Malware Detection Through Programmatic Data Augmentation