Statisticians and computer scientists adopt very different perspectives on algorithms and data, and bridging this gap is essential to deliver on the promise of developing statistically-principled methods for very large-scale applications. A concept that lies at the heart of this disconnect is that of regularization, a notion that has to do with how robust is the output of an algorithm to the...