Bin Shen

Tag recommendation via robust probabilistic discriminative matrix factorization

Low-rank matrix factorization serves as a key technique in learning latent factor models for many applications in machine learning. However, in many applications, observed data often exhibits different levels of noise. To address this issue, we propose a Robust Probabilistic Discriminative Matrix Fa…