Pradeep Ravikumar

MACER: Attack-free and Scalable Robust Training via Maximizing Certified Radius

2020 · arXiv (Cornell University)

Adversarial training is one of the most popular ways to learn robust models but is usually attack-dependent and time costly. In this paper, we propose the MACER algorithm, which learns robust models without using adversarial …

Collaborative filtering with graph information: consistency and scalable methods

2015

Low rank matrix completion plays a fundamental role in collaborative filtering applications, the key idea being that the variables lie in a smaller subspace than the ambient space. Often, additional information about the variables is …