Efficient Low-Rank Semidefinite Programming with Robust Loss Functions.
Sign Up to like & getrecommendations! Published in 2021 at "IEEE transactions on pattern analysis and machine intelligence"
DOI: 10.1109/tpami.2021.3085858
Abstract: In real-world applications, it is important for machine learning algorithms to be robust against data outliers or corruptions. In this paper, we focus on improving the robustness of a large class of learning algorithms that… read more here.
Keywords: low rank; loss; rank semidefinite; efficient low ... See more keywords